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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. 6-RES-JB
    11. 2739
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    INDEX
    Explanations

    technical terms for specific components or aspects

    oai_token-act-pair · gpt-3.5-turbo

    the concept of "elements" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.87
    lishing
    -0.83
    rontal
    -0.77
    lisher
    -0.73
    claimed
    -0.72
    cies
    -0.72
    ctors
    -0.71
    ceed
    -0.71
    blem
    -0.71
    zee
    -0.70
    POSITIVE LOGITS
     elements
    1.03
     element
    0.98
    als
    0.85
     abund
    0.82
    alogy
    0.78
    ARY
    0.75
    osaurs
    0.75
    agen
    0.74
     elemental
    0.73
    ative
    0.71
    Activations Density 0.019%

    No Known Activations