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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. 15779
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    Explanations

    phrases related to physical motion or action

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating movement or actions

    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
     Ascension
    -0.72
    sw
    -0.63
    bats
    -0.62
    ods
    -0.61
    docs
    -0.61
    Shift
    -0.60
    IOR
    -0.59
    lest
    -0.59
     Papers
    -0.58
    lass
    -0.58
    POSITIVE LOGITS
    ometimes
    0.76
    isible
    0.72
    inki
    0.72
    inger
    0.70
    aterasu
    0.67
    ogie
    0.67
    iquid
    0.65
    ecycle
    0.65
    psey
    0.64
    irtual
    0.63
    Activations Density 1.172%

    No Known Activations