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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. 16595
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    Explanations

    words related to physical actions or strategic choices

    oai_token-act-pair · gpt-3.5-turbo

    terminology related to tactical strategies and operational plans

    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
    PsyNetMessage
    -0.76
     Barclays
    -0.74
    uter
    -0.73
    omial
    -0.70
    ĨĴ
    -0.68
    HCR
    -0.68
    ordan
    -0.67
    avia
    -0.67
    EGIN
    -0.66
    izont
    -0.64
    POSITIVE LOGITS
     tack
    0.90
    tic
    0.82
    intosh
    0.80
    mic
    0.74
    ¯¯¯¯
    0.73
    ments
    0.73
    lers
    0.73
    robe
    0.73
    LER
    0.72
    tical
    0.72
    Activations Density 0.021%

    No Known Activations