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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6130
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    INDEX
    Explanations

    phrases indicating the expression of opinions or sentiments by specific groups

    oai_token-act-pair · gpt-3.5-turbo

    expressions of ownership or possession

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Canaver
    -0.79
    haus
    -0.73
     Lerner
    -0.71
     Osc
    -0.67
    ucket
    -0.66
     Phelps
    -0.63
     somew
    -0.63
    uate
    -0.62
     Vog
    -0.61
     Hutch
    -0.60
    POSITIVE LOGITS
     own
    1.58
    self
    1.07
     condolences
    1.03
     Own
    0.98
     thoughts
    0.98
    selves
    0.96
     displeasure
    0.95
     OWN
    0.94
     candidacy
    0.90
     favourite
    0.89
    Activations Density 0.187%

    No Known Activations