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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. 14197
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    Explanations

    adjectives with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    suffixes associated with adjectives and certain verb forms

    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
    URA
    -0.75
    socket
    -0.69
    INC
    -0.69
    isSpecialOrderable
    -0.68
    uther
    -0.67
    rika
    -0.66
    WER
    -0.65
    rir
    -0.64
    avia
    -0.64
    #$#$
    -0.63
    POSITIVE LOGITS
    ly
    1.19
    LY
    0.87
     glances
    0.80
    gery
    0.78
    ness
    0.77
    ishly
    0.76
     proportions
    0.76
    lly
    0.75
    nesses
    0.74
     beginnings
    0.74
    Activations Density 0.227%

    No Known Activations