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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. 10-RES-JB
    11. 4756
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    Explanations

    references to specific names or terms beginning with "Got"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Got" and its variations in the context of various subjects and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.72
     grace
    -0.65
    BOOK
    -0.64
     distingu
    -0.63
     style
    -0.61
     prod
    -0.60
    externalActionCode
    -0.60
    EStreamFrame
    -0.57
     restraint
    -0.57
     prized
    -0.57
    POSITIVE LOGITS
    nesday
    1.32
    onut
    1.04
    ger
    1.02
    ria
    0.96
    abi
    0.96
    monton
    0.95
    alia
    0.93
    rin
    0.91
    kar
    0.90
    ry
    0.90
    Activations Density 0.085%

    No Known Activations