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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. 12698
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    INDEX
    Explanations

    emphasized phrases or statements

    oai_token-act-pair · gpt-3.5-turbo

    references to significant societal issues or intense emotional experiences

    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
    zman
    -0.72
     Helpful
    -0.64
    ammy
    -0.63
     Growth
    -0.63
    ................................
    -0.62
     Catalyst
    -0.61
     Dynamics
    -0.61
     Prosper
    -0.61
     meantime
    -0.60
    ahon
    -0.59
    POSITIVE LOGITS
     practically
    0.97
     unrecogn
    0.94
     barely
    0.91
     scarcely
    0.89
    literally
    0.86
     unus
    0.84
    >]
    0.84
     hardly
    0.83
     almost
    0.81
     literally
    0.81
    Activations Density 0.176%

    No Known Activations