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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. 22679
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    Explanations

    phrases related to superlatives or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating significance or prominence

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ttes
    -0.80
    ences
    -0.77
    heid
    -0.73
    schild
    -0.71
    manship
    -0.70
    jad
    -0.69
    ious
    -0.69
    aven
    -0.69
    ENC
    -0.68
    mint
    -0.67
    POSITIVE LOGITS
    gest
    0.96
     bang
    0.91
     obstacle
    0.86
     culprit
    0.86
     hurdle
    0.84
     proponent
    0.82
     chunk
    0.79
     losers
    0.78
    oted
    0.78
     loser
    0.78
    Activations Density 0.026%

    No Known Activations