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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. 5228
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    Explanations

    expressions related to desires, intentions, or aspirations

    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
    ulty
    -0.78
    VERTISEMENT
    -0.74
    semble
    -0.66
    fell
    -0.65
    anches
    -0.65
    ammy
    -0.64
    ccording
    -0.63
    igmatic
    -0.63
    issance
    -0.63
    gren
    -0.63
    POSITIVE LOGITS
     revenge
    0.82
    reprene
    0.81
     nothing
    0.77
     desperately
    0.75
     to
    0.74
     attention
    0.74
     answers
    0.69
     assurances
    0.68
     clarification
    0.68
    WARD
    0.68
    Activations Density 0.089%

    No Known Activations