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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. 11727
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation

    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
    omics
    -0.76
     millenn
    -0.74
    ŃĶ
    -0.72
     deserved
    -0.72
    lled
    -0.71
     conglomer
    -0.70
     crammed
    -0.69
     impression
    -0.69
    ijing
    -0.69
     mirac
    -0.68
    POSITIVE LOGITS
     Otherwise
    1.75
     Alternatively
    1.74
     Additionally
    1.67
     Depending
    1.63
     Conversely
    1.60
     Likewise
    1.60
     However
    1.58
     Similarly
    1.56
     Therefore
    1.55
     If
    1.55
    Activations Density 0.295%

    No Known Activations