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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. 23350
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    Explanations

    keywords related to additional information or further reading, often used as a call-to-action

    oai_token-act-pair · gpt-3.5-turbo

    references to additional reading or content suggestions

    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
    #$
    -0.68
    poke
    -0.65
    hoe
    -0.65
    slot
    -0.63
     Rampage
    -0.62
    essor
    -0.61
    ision
    -0.61
    mble
    -0.61
    escape
    -0.60
    "},"
    -0.60
    POSITIVE LOGITS
     noteworthy
    1.06
     Read
    0.95
     Known
    0.94
     notable
    0.90
     Called
    0.85
     Available
    0.84
     readable
    0.81
     included
    0.80
     worth
    0.80
     known
    0.80
    Activations Density 0.050%

    No Known Activations