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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. 11-RES-JB
    11. 3376
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    INDEX
    Explanations

    references to physical locations or objects within a specific setting

    oai_token-act-pair · gpt-3.5-turbo

    sentences that describe states of being or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ients
    -0.87
    imize
    -0.72
    imeters
    -0.71
    iets
    -0.68
    seys
    -0.68
    inventoryQuantity
    -0.67
    uum
    -0.66
    umat
    -0.65
    initial
    -0.63
    players
    -0.63
    POSITIVE LOGITS
     another
    0.94
     inscribed
    0.69
     situated
    0.66
     a
    0.65
     also
    0.64
     an
    0.63
     abundant
    0.61
    phia
    0.60
     lined
    0.60
     engraved
    0.60
    Activations Density 0.091%

    No Known Activations