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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. 14262
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    Explanations

    phrases related to involvement or interference in different situations or contexts

    oai_token-act-pair · gpt-3.5-turbo

    prepositions indicating involvement or participation in activities or discussions

    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
    hiba
    -0.71
    ulia
    -0.69
    oji
    -0.65
    types
    -0.64
    atical
    -0.61
    gery
    -0.61
    nce
    -0.61
    /-
    -0.60
    riors
    -0.60
    ishment
    -0.59
    POSITIVE LOGITS
     fray
    0.93
     discussions
    0.80
     forefront
    0.77
     debates
    0.75
     bidding
    0.74
    pocket
    0.72
     affairs
    0.72
     politics
    0.71
     controversy
    0.69
     bandwagon
    0.68
    Activations Density 0.353%

    No Known Activations