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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. 4-RES-JB
    11. 1704
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    Explanations

    mentions of specific names in the context of various topics

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals involved in a specific context or event

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

    No Comments

    Negative Logits
    eters
    -0.95
    ously
    -0.83
    arily
    -0.73
    IFIED
    -0.73
    selves
    -0.71
    åĤ
    -0.69
    CLASS
    -0.67
     Kitty
    -0.67
    ulator
    -0.65
     pus
    -0.64
    POSITIVE LOGITS
     Baldwin
    1.07
    ignt
    0.76
     Hills
    0.74
    anza
    0.74
    ģ«
    0.71
    eatures
    0.71
    rities
    0.70
    ounty
    0.69
     Duc
    0.69
    nets
    0.68
    Activations Density 0.014%

    No Known Activations