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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. 3183
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    Explanations

    a desire or intention expressed by the word "want."

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or intention

    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
    VERTISEMENT
    -0.64
    icol
    -0.64
    rir
    -0.61
    iverpool
    -0.60
    eding
    -0.59
    ulty
    -0.59
    fell
    -0.58
    edition
    -0.58
    icist
    -0.58
    frac
    -0.57
    POSITIVE LOGITS
    reprene
    0.91
     revenge
    0.80
     answers
    0.75
     everyone
    0.73
     everybody
    0.73
     somebody
    0.70
     someone
    0.69
     to
    0.69
     clarification
    0.69
    ACY
    0.69
    Activations Density 0.078%

    No Known Activations