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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. 11-RES-JB
    11. 1797
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    Explanations

    verbs related to actions and interactions among people

    oai_token-act-pair · gpt-3.5-turbo

    actions related to social interactions and responsibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.70
    oser
    -0.67
    clone
    -0.63
     grasp
    -0.61
    idav
    -0.57
    winner
    -0.56
    possibly
    -0.56
    si
    -0.56
    FIG
    -0.55
     possibly
    -0.55
    POSITIVE LOGITS
    ometimes
    1.14
     alot
    1.08
     regularly
    1.01
     frequently
    0.91
     yearly
    0.90
     constantly
    0.85
     daily
    0.83
     weekly
    0.82
     Mondays
    0.82
     lots
    0.82
    Activations Density 0.403%

    No Known Activations