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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. 9-RES-JB
    11. 2713
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    INDEX
    Explanations

    phrases signaling urgency or importance

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases or themes that suggest popular or trending ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wagon
    -0.67
    naires
    -0.64
    umenthal
    -0.62
    fen
    -0.62
    igslist
    -0.61
    senal
    -0.59
     homebrew
    -0.59
    heit
    -0.59
    steen
    -0.59
    trap
    -0.59
    POSITIVE LOGITS
     MUST
    1.09
     Ùħ
    0.64
    Roberts
    0.63
    AND
    0.63
     WATCH
    0.62
    quickShipAvailable
    0.62
    cise
    0.62
    must
    0.61
     Replay
    0.61
    lect
    0.60
    Activations Density 0.019%

    No Known Activations