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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. 7245
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    Explanations

    dates in a specific format written with some textual context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to historical anniversaries or events

    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
     ..."
    -0.75
     goddamn
    -0.72
    ..."
    -0.70
     whilst
    -0.68
     fucking
    -0.68
     damn
    -0.66
    .","
    -0.66
    ".[
    -0.65
    Âł
    -0.63
    .<
    -0.63
    POSITIVE LOGITS
     meanwhile
    0.84
     aback
    0.66
     HuffPost
    0.63
     irony
    0.63
     setback
    0.59
    odore
    0.57
    surprisingly
    0.57
    iannopoulos
    0.56
     meantime
    0.56
     critics
    0.55
    Activations Density 1.410%

    No Known Activations