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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. 8-RES-JB
    11. 3976
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    Explanations

    proper nouns related to individuals, potentially in cultural or entertainment contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Boy," especially in terms of its context and variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeda
    -1.06
    arily
    -0.77
     podium
    -0.73
    ickr
    -0.72
    iment
    -0.71
    REM
    -0.68
    encing
    -0.67
    aukee
    -0.65
    iculture
    -0.65
     showc
    -0.65
    POSITIVE LOGITS
    friend
    1.51
    cott
    1.38
    nton
    1.27
     Scouts
    1.25
    hood
    1.18
     Scout
    1.11
    friends
    1.11
    boys
    1.08
    boy
    1.08
    stown
    1.05
    Activations Density 0.035%

    No Known Activations