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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13029
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.59
     answ
    -0.51
     Adin
    -0.51
     Pengu
    -0.50
     namely
    -0.48
     nodd
    -0.47
    PDATE
    -0.47
     Leban
    -0.47
     notor
    -0.44
    ãĤ¢ãĥ«
    -0.44
    POSITIVE LOGITS
     etc
    1.17
    ,...
    1.08
    ?,
    0.99
    ,,
    0.93
    !,
    0.92
    ,
    0.92
     ,
    0.85
    ,[
    0.84
     };
    0.84
    ,,,,
    0.75
    Activations Density 0.598%

    No Known Activations