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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. 4905
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    Explanations

    words followed by certain punctuation marks

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and proper nouns in a text

    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
    olves
    -0.75
    interstitial
    -0.71
    EStream
    -0.71
    izon
    -0.68
    overs
    -0.67
    acebook
    -0.67
    edition
    -0.66
    illion
    -0.64
    iral
    -0.64
    units
    -0.64
    POSITIVE LOGITS
     meanwhile
    0.99
     supra
    0.92
    nee
    0.89
     LLP
    0.86
     whom
    0.84
     Duchess
    0.82
     who
    0.81
     Mesh
    0.78
     however
    0.78
     whose
    0.77
    Activations Density 0.108%

    No Known Activations