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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. 1-RES-JB
    11. 21669
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    Explanations

    actions related to physical movements and activities

    oai_token-act-pair · gpt-3.5-turbo

    actions or activities that are energetic or involve movement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    si
    -0.89
    cms
    -0.81
    deal
    -0.78
    OPE
    -0.75
    uph
    -0.72
    bra
    -0.72
    saf
    -0.70
    ifi
    -0.70
    xy
    -0.70
    nam
    -0.69
    POSITIVE LOGITS
    redients
    0.86
     exha
    0.84
     torches
    0.79
     conduc
    0.78
     elbows
    0.77
    GGGGGGGG
    0.77
    VIDIA
    0.76
     oranges
    0.75
    ansk
    0.73
     noises
    0.72
    Activations Density 0.116%

    No Known Activations