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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. 3-RES-JB
    11. 15611
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    Explanations

    references to someone's artistic or professional output

    oai_token-act-pair · gpt-3.5-turbo

    references to artistic works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constitu
    -0.77
     Ukrain
    -0.72
    wcs
    -0.70
    anamo
    -0.70
    ĪĴ
    -0.68
     Predators
    -0.66
     Cricket
    -0.66
     Rohing
    -0.65
    Ń·
    -0.65
     Flavoring
    -0.64
    POSITIVE LOGITS
    station
    1.26
     ethic
    1.25
    bench
    1.18
    manship
    1.16
    flows
    1.15
    work
    1.01
    fare
    0.97
    hops
    0.93
    aday
    0.92
    ername
    0.88
    Activations Density 0.064%

    No Known Activations