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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. 2-RES-JB
    11. 6634
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    INDEX
    Explanations

    percentages mentioned in a sentence

    oai_token-act-pair · gpt-3.5-turbo

    percentages in statistical statements

    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
    zek
    -0.75
    pload
    -0.74
     dign
    -0.71
    pecially
    -0.70
    itiz
    -0.69
     showc
    -0.68
     Rav
    -0.68
    jected
    -0.68
     glim
    -0.67
    WithNo
    -0.66
    POSITIVE LOGITS
    %
    0.90
    %.
    0.83
    percent
    0.82
    %-
    0.82
    +)
    0.81
    +.
    0.81
    %,
    0.80
     percent
    0.75
    fps
    0.74
    rowth
    0.74
    Activations Density 0.061%

    No Known Activations