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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. 11271
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of commas 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
    Not in Any Lists

    No Comments

    Negative Logits
    rush
    -0.69
    orem
    -0.68
    TS
    -0.68
    ery
    -0.67
    Optional
    -0.65
    els
    -0.63
    riage
    -0.63
    arde
    -0.62
    aft
    -0.61
    vation
    -0.61
    POSITIVE LOGITS
     including
    1.38
     includ
    1.34
     culminating
    1.30
     ranging
    1.22
     notably
    1.15
    including
    1.11
     prompting
    1.05
     Including
    1.05
     albeit
    1.05
     namely
    1.00
    Activations Density 0.385%

    No Known Activations