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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. 9-RES-JB
    11. 19406
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    Explanations

    comparisons indicating something is not as severe or negative as commonly believed

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases indicating something is not as extreme or severe as perceived

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ALE
    -0.68
    license
    -0.68
    WIND
    -0.65
    bard
    -0.64
    ires
    -0.64
     guiActiveUnfocused
    -0.64
    estones
    -0.62
    MT
    -0.61
    lde
    -0.60
    isible
    -0.59
    POSITIVE LOGITS
     usual
    0.97
     advertised
    0.77
     ours
    0.73
     typical
    0.72
     anticipated
    0.72
     figuring
    0.71
     others
    0.71
     expected
    0.69
     some
    0.68
     bragging
    0.68
    Activations Density 0.071%

    No Known Activations