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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. 13719
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    Explanations

    actions carried out physically by manual effort

    oai_token-act-pair · gpt-3.5-turbo

    references to actions and circumstances related to handling situations or objects

    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
     Roose
    -0.65
    ukong
    -0.63
     VAL
    -0.58
    ibaba
    -0.58
    Reviewed
    -0.57
     role
    -0.57
     psy
    -0.56
    eanor
    -0.54
    Roy
    -0.53
    achelor
    -0.53
    POSITIVE LOGITS
     guiActiveUn
    0.72
    ghan
    0.69
    dding
    0.66
    mouth
    0.65
    umbers
    0.63
     sprink
    0.61
    Magikarp
    0.61
     disposal
    0.61
    adas
    0.61
     ingestion
    0.61
    Activations Density 0.172%

    No Known Activations