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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 12380
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    Explanations

    words related to physical movement or actions involving the physical state of an object, particularly focusing on actions that involve an object moving or shifting position

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'w'

    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
     culp
    -0.62
     Lumpur
    -0.61
     Entered
    -0.60
     anonymity
    -0.59
     duplication
    -0.59
     gearing
    -0.58
     submission
    -0.57
     responsibility
    -0.57
     attracting
    -0.57
     Sabha
    -0.57
    POSITIVE LOGITS
    iggle
    1.28
    affles
    1.26
    icket
    1.25
    affle
    1.24
    ithering
    1.23
    ither
    1.20
    alt
    1.18
    atson
    1.18
    acky
    1.17
    ickets
    1.17
    Activations Density 0.015%

    No Known Activations