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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. 5270
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    INDEX
    Explanations

    phrases related to hard work and perseverance

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hard work and effort

    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
    ificantly
    -0.75
    rompt
    -0.74
    edia
    -0.73
    appropriately
    -0.70
    ĺħ
    -0.70
    vertisement
    -0.70
    isode
    -0.70
    bnb
    -0.69
    AZ
    -0.68
    psc
    -0.67
    POSITIVE LOGITS
     uphill
    1.12
     slog
    1.05
     toughest
    1.03
     grind
    0.95
     hardest
    0.95
     tougher
    0.92
     hurdle
    0.92
     ardu
    0.90
     gru
    0.89
     harder
    0.87
    Activations Density 0.289%

    No Known Activations