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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. 9-RES-JB
    11. 19443
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to premises, approvals, and structured concepts within specific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ī
    -0.75
     unden
    -0.74
    TPPStreamerBot
    -0.70
     Azerb
    -0.70
     Palestin
    -0.69
     tradem
    -0.67
     Citiz
    -0.66
    chuk
    -0.66
    ij士
    -0.65
    د
    -0.63
    POSITIVE LOGITS
    xual
    1.00
     fallacy
    0.65
    metry
    0.64
     clause
    0.63
    ioned
    0.63
    oft
    0.62
    tons
    0.62
     brackets
    0.62
    nance
    0.60
     clauses
    0.60
    Activations Density 0.989%

    No Known Activations