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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. 16214
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    Explanations

    actions related to manipulation and coercion

    oai_token-act-pair · gpt-3.5-turbo

    language related to intimidation and manipulation tactics

    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
    blance
    -0.73
    elt
    -0.72
    ciplinary
    -0.71
    chwitz
    -0.71
    inctions
    -0.70
    edded
    -0.69
    Interstitial
    -0.68
    elman
    -0.67
    eatures
    -0.66
    inction
    -0.64
    POSITIVE LOGITS
     gull
    1.15
     unsuspecting
    1.09
     into
    0.98
     INTO
    0.93
    ingly
    0.89
     passers
    0.88
    crow
    0.85
     Into
    0.84
     onlook
    0.83
     voters
    0.83
    Activations Density 0.129%

    No Known Activations