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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. 5322
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    INDEX
    Explanations

    text passages discussing a growing trend or phenomenon in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "growing" and related terms signifying increase or expansion

    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
     Mub
    -0.81
    mates
    -0.76
    atography
    -0.75
    fing
    -0.74
    toe
    -0.73
    vous
    -0.72
    bol
    -0.72
    crow
    -0.70
    oping
    -0.69
     quir
    -0.69
    POSITIVE LOGITS
     pains
    1.20
     trend
    1.12
     popularity
    1.03
     realization
    1.03
     dissatisfaction
    0.97
     impat
    0.95
     tide
    0.93
     awareness
    0.93
     intolerance
    0.92
     frustration
    0.92
    Activations Density 0.070%

    No Known Activations