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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22682
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    Explanations

    references to flexibility

    oai_token-act-pair · gpt-3.5-turbo

    references to flexibility in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    FORE
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    roy
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    bey
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    ICAN
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    girls
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    oky
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    è£
    -0.69
    ographed
    -0.68
    oys
    -0.67
    jay
    -0.67
    POSITIVE LOGITS
    atility
    0.89
    atile
    0.86
     flexibility
    0.84
    ible
    0.80
    ibility
    0.78
    glers
    0.73
    ibly
    0.72
    ibilities
    0.71
     options
    0.70
     flex
    0.69
    Activations Density 0.052%

    No Known Activations