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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. 9-RES-JB
    11. 13353
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    Explanations

    mentions of actions related to pulling out or removing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to the act of withdrawing or pulling back

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rpm
    -0.73
    iola
    -0.68
    rious
    -0.65
    xus
    -0.64
    odic
    -0.64
     Collider
    -0.63
    swick
    -0.62
     Mavericks
    -0.61
     Nose
    -0.61
    transform
    -0.60
    POSITIVE LOGITS
    avorite
    0.91
    owship
    0.77
     responsibility
    0.75
     allegiance
    0.73
     disbelief
    0.72
     from
    0.71
     consent
    0.70
    sburg
    0.69
    ends
    0.66
    IONS
    0.64
    Activations Density 0.044%

    No Known Activations