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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. 1-RES-JB
    11. 12893
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    INDEX
    Explanations

    the word "Jump" at varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    repetitive mentions of "Jump" and "Cover"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olson
    -0.76
    externalActionCode
    -0.75
    arial
    -0.75
    USE
    -0.70
    SPONSORED
    -0.70
     deaf
    -0.68
    asio
    -0.65
    OAD
    -0.65
     pleasure
    -0.64
    astical
    -0.64
    POSITIVE LOGITS
    ing
    1.55
     Fix
    0.84
    edIn
    0.82
     Points
    0.81
    ington
    0.81
     Tycoon
    0.80
     Contact
    0.80
     Values
    0.80
     Factor
    0.80
     Bullets
    0.80
    Activations Density 0.057%

    No Known Activations