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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. 7097
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    INDEX
    Explanations

    names of specific entities, such as sports teams, historical events, and organizational bodies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities and situations being analyzed or discussed

    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
    cil
    -0.78
    uca
    -0.75
    lege
    -0.75
    )=(
    -0.74
    NULL
    -0.71
    awaited
    -0.71
    isance
    -0.71
    resso
    -0.68
    hers
    -0.66
    uth
    -0.66
    POSITIVE LOGITS
     graphs
    1.26
     charts
    1.21
     diagrams
    1.14
     archives
    1.11
     stats
    1.10
     diagram
    1.10
     statistics
    1.09
     histories
    1.09
     literature
    1.08
     backgrounds
    1.07
    Activations Density 0.240%

    No Known Activations