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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. 17792
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    Explanations

    mention of the word "Wonder"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Wonder Woman" or related references

    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
     destro
    -0.89
    aution
    -0.86
    escription
    -0.74
     manslaughter
    -0.72
    EStream
    -0.70
    aeda
    -0.70
    oaded
    -0.68
     seiz
    -0.67
     separat
    -0.67
     disg
    -0.65
    POSITIVE LOGITS
    bolt
    0.93
    storms
    0.90
     Woman
    0.90
    frey
    0.87
    stru
    0.86
    fulness
    0.86
    fully
    0.85
    FUL
    0.85
    kids
    0.84
    power
    0.82
    Activations Density 0.028%

    No Known Activations