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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. 8-RES-JB
    11. 24300
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    INDEX
    Explanations

    proper nouns or specific entities mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "The."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \<
    -0.82
    ÏĢ
    -0.80
    pload
    -0.75
    essen
    -0.75
    Ïī
    -0.73
    ceive
    -0.71
    hops
    -0.70
    ptr
    -0.70
    γ
    -0.69
    POST
    -0.69
    POSITIVE LOGITS
    resa
    1.20
    odore
    1.17
    oret
    1.14
     latest
    1.14
     revelation
    1.00
     announcement
    0.98
     latter
    0.97
    ories
    0.92
     idea
    0.92
     biggest
    0.91
    Activations Density 0.319%

    No Known Activations