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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. 8-RES-JB
    11. 23828
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of quotation marks in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Guards
    -0.75
     dumps
    -0.70
     Blacks
    -0.68
     credentials
    -0.68
     clouds
    -0.66
     folks
    -0.65
     businesses
    -0.65
     gays
    -0.65
     principals
    -0.65
     majorities
    -0.65
    POSITIVE LOGITS
    amic
    1.02
    interesting
    0.99
    ufact
    0.95
    ennial
    0.92
    alogue
    0.91
    automatic
    0.91
    inner
    0.90
    important
    0.90
    aura
    0.90
    inal
    0.89
    Activations Density 0.036%

    No Known Activations