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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. 13882
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    Explanations

    phrases that express contrast or comparison

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce clarifications or affirmations

    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
    ELD
    -0.68
    mage
    -0.63
    aced
    -0.63
    aq
    -0.61
    ager
    -0.61
    eks
    -0.61
    ilar
    -0.60
    LC
    -0.60
    Parameter
    -0.59
    Then
    -0.58
    POSITIVE LOGITS
     unless
    0.92
     namely
    0.84
     excluding
    0.82
     whoever
    0.77
    unless
    0.76
     insofar
    0.74
     whether
    0.73
     whichever
    0.71
     barring
    0.70
     whenever
    0.68
    Activations Density 0.072%

    No Known Activations