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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. 4-RES-JB
    11. 19552
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    Explanations

    references to locations, particularly cities or institutions

    oai_token-act-pair · gpt-3.5-turbo

    the word "her" and variations of its usage in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAW
    -0.65
     1861
    -0.61
     rolling
    -0.61
     hanging
    -0.60
    govtrack
    -0.60
     sew
    -0.59
     Wool
    -0.59
     trim
    -0.59
     Xin
    -0.59
    ouls
    -0.58
    POSITIVE LOGITS
    itage
    1.53
    ding
    1.06
    itance
    1.02
    ald
    1.01
    der
    0.93
    metic
    0.91
    itant
    0.91
    tz
    0.90
    jee
    0.90
    itable
    0.89
    Activations Density 0.017%

    No Known Activations