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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. 6780
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    Explanations

    names of people and places with the syllable "rut" or "sut"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    agher
    -0.91
    etheus
    -0.90
    cale
    -0.80
    itable
    -0.71
    negie
    -0.70
    hots
    -0.67
     Institution
    -0.66
    ouse
    -0.66
    ¯¯
    -0.65
    nect
    -0.65
    POSITIVE LOGITS
    ierrez
    1.05
    gart
    0.98
    tle
    0.86
    ifully
    0.82
    iful
    0.80
    ravel
    0.78
    rient
    0.77
     Sut
    0.72
    reon
    0.72
    ures
    0.72
    Activations Density 0.013%

    No Known Activations