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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. 4155
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    Explanations

    entities such as professionals and titles

    oai_token-act-pair · gpt-3.5-turbo

    names and titles of individuals associated with various roles or professions

    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
    ecause
    -1.02
    ilver
    -0.87
    cale
    -0.78
    actly
    -0.73
    artney
    -0.72
    agascar
    -0.71
    equality
    -0.70
    اÙĦ
    -0.69
    edIn
    -0.69
    ĸļ
    -0.68
    POSITIVE LOGITS
    osphere
    0.98
    liest
    0.87
    iest
    0.79
     himself
    0.70
    stown
    0.67
    arts
    0.66
    's
    0.66
     who
    0.65
     herself
    0.65
    ische
    0.64
    Activations Density 0.308%

    No Known Activations