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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. 7798
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    Explanations

    mentions of the word "play" usually referring to sports plays

    oai_token-act-pair · gpt-3.5-turbo

    references to "play" in a sports context

    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
     Beir
    -0.80
     Unic
    -0.69
    «ĺ
    -0.68
     Apost
    -0.67
     constitu
    -0.66
    ħĭ
    -0.64
    orpor
    -0.63
    pora
    -0.61
     Maxim
    -0.61
    fty
    -0.61
    POSITIVE LOGITS
    ername
    1.29
    wright
    1.27
    maker
    1.18
    makers
    1.07
    wr
    1.03
    call
    1.01
    making
    1.00
    plays
    1.00
    testers
    0.99
    offs
    0.97
    Activations Density 0.045%

    No Known Activations