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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. 10-RES-JB
    11. 23319
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    Explanations

    references to bears

    oai_token-act-pair · gpt-3.5-turbo

    references to "bear" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akuya
    -0.77
    ij士
    -0.76
    VICE
    -0.73
    istry
    -0.71
    esson
    -0.70
     Seym
    -0.67
    lectic
    -0.67
    selves
    -0.66
    ADRA
    -0.66
    ocrates
    -0.65
    POSITIVE LOGITS
    beit
    1.07
     cub
    1.00
     Gry
    0.89
     hug
    0.89
    bear
    0.86
    xual
    0.86
     hugs
    0.84
    cats
    0.83
    claw
    0.80
     Bears
    0.78
    Activations Density 0.033%

    No Known Activations