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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. 13720
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    Explanations

    actions related to gripping or holding onto objects or surfaces

    oai_token-act-pair · gpt-3.5-turbo

    words related to the action of holding

    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
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    No Comments

    Negative Logits
    debian
    -0.72
    ibel
    -0.70
    naire
    -0.69
    inx
    -0.66
     Daylight
    -0.66
    ema
    -0.65
    ologist
    -0.64
    viously
    -0.63
    ixels
    -0.63
    economic
    -0.63
    POSITIVE LOGITS
    hold
    1.21
     hold
    1.02
    holding
    1.00
    holders
    0.93
     sway
    0.90
    held
    0.87
    erness
    0.86
    holder
    0.83
     grip
    0.83
     holding
    0.81
    Activations Density 0.034%

    No Known Activations