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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. 9-RES-JB
    11. 15094
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.69
     dreaded
    -0.68
     Atlantis
    -0.66
     habitable
    -0.65
    ographed
    -0.63
    ãĥ¯ãĥ³
    -0.62
    ificantly
    -0.62
    Important
    -0.62
    amous
    -0.61
     piping
    -0.60
    POSITIVE LOGITS
    vironments
    0.87
    smanship
    0.73
    secution
    0.68
    ystem
    0.68
    ounters
    0.67
    alloc
    0.66
    ivism
    0.66
    "}],"
    0.66
    rencies
    0.66
    agonist
    0.65
    Activations Density 0.675%

    No Known Activations