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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. 6-RES-JB
    11. 10855
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    INDEX
    Explanations

    mentions of specific names, possibly related to unfolding events or personal stories

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and terms related to sports achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.78
    gat
    -0.77
    chool
    -0.75
    ãĥĹ
    -0.71
    ãĥģ
    -0.70
    hur
    -0.69
    ãĥĺ
    -0.69
    isu
    -0.68
    gdala
    -0.68
     lobe
    -0.65
    POSITIVE LOGITS
    ually
    0.86
    ially
    0.80
    ic
    0.77
    rities
    0.73
    osa
    0.73
    oses
    0.72
    ician
    0.72
    otiation
    0.71
    eland
    0.70
    ypes
    0.70
    Activations Density 0.049%

    No Known Activations