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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. 7-RES-JB
    11. 21344
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    INDEX
    Explanations

    phrases indicating an anticipated action or event

    oai_token-act-pair · gpt-3.5-turbo

    statements about future predictions or expectations

    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
    tex
    -0.73
    claimer
    -0.70
    Quantity
    -0.69
    illusion
    -0.68
    tein
    -0.66
     Disease
    -0.63
    tha
    -0.63
    cos
    -0.61
    mt
    -0.61
    wrong
    -0.59
    POSITIVE LOGITS
     tomorrow
    0.68
     someday
    0.67
    icipated
    0.66
     Beir
    0.66
    LY
    0.66
     plur
    0.65
     Lauder
    0.65
    ĭ
    0.64
     newsp
    0.64
    imately
    0.64
    Activations Density 0.038%

    No Known Activations