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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. 4-RES-JB
    11. 12400
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    Explanations

    words related to clothing or physical appearance

    oai_token-act-pair · gpt-3.5-turbo

    words related to forms of action or movement, particularly those involving manipulation or handling

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

    No Comments

    Negative Logits
     Trance
    -0.71
     TODAY
    -0.68
    enegger
    -0.65
    imov
    -0.65
     STATS
    -0.63
    irlf
    -0.62
    iband
    -0.61
     Karin
    -0.60
    EGIN
    -0.59
     Twin
    -0.59
    POSITIVE LOGITS
    oshenko
    0.89
    yip
    0.88
    pole
    0.83
    bones
    0.80
    edo
    0.75
    nel
    0.73
    oil
    0.72
    boxing
    0.72
    mouth
    0.71
     torches
    0.69
    Activations Density 0.056%

    No Known Activations