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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. 9-RES-JB
    11. 23735
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to challenges or difficulties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.81
    Latest
    -0.78
    Downloadha
    -0.75
     Contains
    -0.74
    http
    -0.71
    ãĥ
    -0.69
    porter
    -0.68
     https
    -0.68
     Currently
    -0.65
    اÙĦ
    -0.65
    POSITIVE LOGITS
     culminated
    0.87
    Eventually
    0.86
     retrospect
    0.85
     newfound
    0.82
     disillusion
    0.82
     eventually
    0.81
     fateful
    0.81
     nascent
    0.80
     relent
    0.79
     persisted
    0.79
    Activations Density 1.172%

    No Known Activations