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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. 3-RES-JB
    11. 11236
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    INDEX
    Explanations

    proper nouns or specific terms in text

    oai_token-act-pair · gpt-3.5-turbo

    numerical figures or statistics being referenced in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.80
    umenthal
    -0.73
    eatures
    -0.73
    bey
    -0.72
     Ples
    -0.71
    herry
    -0.71
    sbm
    -0.71
    veyard
    -0.69
    nor
    -0.67
    renches
    -0.67
    POSITIVE LOGITS
     figure
    0.95
     figures
    0.83
    figure
    0.81
    enance
    0.81
    book
    0.77
     skating
    0.74
    heads
    0.73
    head
    0.73
     prominently
    0.71
    maker
    0.71
    Activations Density 0.012%

    No Known Activations