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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 4428
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )."
    -0.73
    )).
    -0.71
    ĪĴ
    -0.70
    ]."
    -0.68
     behav
    -0.67
    ©¶æ
    -0.67
    ]).
    -0.67
    odan
    -0.66
    ĨĴ
    -0.65
    )"
    -0.65
    POSITIVE LOGITS
     thanks
    0.89
    !
    0.86
     lately
    0.83
     nowadays
    0.78
    —
    0.75
    .
    0.74
     –
    0.70
    ;
    0.70
     —
    0.69
     but
    0.69
    Activations Density 0.557%

    No Known Activations