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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. 14348
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    INDEX
    Explanations

    names of specific people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
    hops
    -0.83
    ebus
    -0.79
    akening
    -0.78
    ħĭ
    -0.78
    changes
    -0.73
    taboola
    -0.72
    Asia
    -0.71
    hop
    -0.69
    į
    -0.69
    alted
    -0.68
    POSITIVE LOGITS
     Levin
    0.93
     Lerner
    0.90
    ifer
    0.80
    insky
    0.80
    itsch
    0.78
     Lans
    0.77
     Levy
    0.76
     Feldman
    0.74
    burgh
    0.73
     Katz
    0.73
    Activations Density 0.014%

    No Known Activations