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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. 20172
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the names "Shaw" and "Sham" as well as variations of "Shay."

    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
    onymous
    -0.75
    afort
    -0.74
    vironment
    -0.72
    ertodd
    -0.70
    insula
    -0.64
     è£ıç
    -0.63
    ocaust
    -0.63
    ications
    -0.62
    ighty
    -0.61
    ownt
    -0.61
    POSITIVE LOGITS
    cross
    0.88
    ming
    0.85
    kat
    0.78
    mir
    0.74
    mut
    0.74
    dh
    0.73
    rock
    0.71
    mere
    0.69
    bone
    0.68
    imar
    0.68
    Activations Density 0.068%

    No Known Activations