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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. 2-RES-JB
    6. 10172
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    Explanations

    patterns related to votes and polling results

    oai_token-act-pair · gpt-3.5-turbo

    patterns of punctuation and ellipses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    board
    -0.73
    pher
    -0.71
    psons
    -0.71
     Fulton
    -0.70
    boarding
    -0.70
    hof
    -0.68
    atten
    -0.66
    imb
    -0.66
    houses
    -0.65
    bat
    -0.62
    POSITIVE LOGITS
    .........
    1.32
    .......
    1.22
    ......
    1.12
    .....
    1.11
    ?????
    1.11
    ....
    0.98
    !!!!!
    0.96
    ãħĭ
    0.95
    ..
    0.87
    ???
    0.86
    Activations Density 0.009%

    No Known Activations