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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. 2-RES-JB
    11. 6090
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    Explanations

    references to physical exertion or bodily exertion

    oai_token-act-pair · gpt-3.5-turbo

    references to sweat and sweating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orc
    -0.77
    umbn
    -0.71
    later
    -0.65
    Mand
    -0.64
    emort
    -0.62
    evin
    -0.62
    eve
    -0.62
    egal
    -0.61
    osion
    -0.61
    nered
    -0.60
    POSITIVE LOGITS
     sweat
    1.19
    pants
    1.11
    hirt
    0.89
     glands
    0.86
    mson
    0.86
    bands
    0.84
    pee
    0.80
    tip
    0.79
    heet
    0.76
     sweating
    0.74
    Activations Density 0.006%

    No Known Activations