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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. 3-RES-JB
    11. 12850
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    INDEX
    Explanations

    mentions of internal technology specifications and components

    oai_token-act-pair · gpt-3.5-turbo

    references to internal components or structures of systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eful
    -0.80
    EY
    -0.78
    Score
    -0.77
    geries
    -0.76
    efully
    -0.74
    DragonMagazine
    -0.72
    KI
    -0.72
    alla
    -0.71
    ammy
    -0.71
    vous
    -0.69
    POSITIVE LOGITS
     combustion
    1.19
     workings
    1.09
     dimensions
    0.95
     diameter
    0.91
     organs
    0.89
    ized
    0.87
    izes
    0.82
    ization
    0.81
    ities
    0.80
     cavity
    0.80
    Activations Density 0.012%

    No Known Activations