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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. 4-RES-JB
    11. 1992
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    INDEX
    Explanations

    references to historical or valuable objects or items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to historical artifacts and relics

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

    No Comments

    Negative Logits
    sen
    -0.80
    kers
    -0.74
    rol
    -0.73
    rons
    -0.71
    yip
    -0.70
    tan
    -0.69
    NN
    -0.69
    ter
    -0.66
    mber
    -0.66
    olitan
    -0.65
    POSITIVE LOGITS
    ifacts
    1.17
     arte
    1.16
     artifacts
    1.15
     artifact
    1.13
    artifacts
    0.98
    ifact
    0.92
     relics
    0.87
    smanship
    0.73
    ibles
    0.73
     treasures
    0.72
    Activations Density 0.018%

    No Known Activations