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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. 0-RES-JB
    11. 11266
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    Explanations

    words related to items or concepts that can be modified or adjusted

    oai_token-act-pair · gpt-3.5-turbo

    words related to capabilities and functions of items or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tug
    -0.72
     struggle
    -0.63
     trem
    -0.61
     stroke
    -0.60
     finger
    -0.57
     shove
    -0.54
     riff
    -0.54
     Prest
    -0.54
     lens
    -0.53
     fist
    -0.53
    POSITIVE LOGITS
    ables
    4.81
    able
    2.60
    ABLE
    2.43
    abled
    2.03
    ability
    1.96
    abling
    1.83
    ably
    1.83
    abilities
    1.68
    ibles
    1.48
    abl
    1.40
    Activations Density 0.010%

    No Known Activations