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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. 1-RES-JB
    11. 3638
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    INDEX
    Explanations

    names or mentions of a specific publication

    oai_token-act-pair · gpt-3.5-turbo

    words related to inquiries and demands, particularly in a news or editorial context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ijah
    -0.80
     brute
    -0.77
     challeng
    -0.75
     conflic
    -0.73
     stalking
    -0.72
    ajo
    -0.71
     showc
    -0.71
     surv
    -0.71
     lifes
    -0.71
     deliberations
    -0.70
    POSITIVE LOGITS
    ments
    1.10
    ment
    0.96
    rer
    0.95
    teen
    0.93
    rers
    0.91
    mented
    0.89
    TION
    0.87
    MENT
    0.86
    MENTS
    0.84
    ty
    0.80
    Activations Density 0.035%

    No Known Activations