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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. 10-RES-JB
    11. 1351
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    INDEX
    Explanations

    adjectives and nouns associated with strong emotional reactions, like anger, fear, and excitement

    oai_token-act-pair · gpt-3.5-turbo

    emotional responses and concepts related to significant social and personal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    versions
    -0.71
    authent
    -0.66
    ECD
    -0.65
    ovie
    -0.64
     Tanz
    -0.61
    miss
    -0.61
    acket
    -0.60
    vati
    -0.59
    esson
    -0.59
    ork
    -0.57
    POSITIVE LOGITS
     Matters
    1.17
    fully
    1.10
    ful
    1.10
     arises
    1.00
     Comes
    0.97
     awaits
    0.97
    FUL
    0.95
     prevailed
    0.95
     dictates
    0.92
     Begins
    0.92
    Activations Density 0.197%

    No Known Activations