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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. 11-RES-JB
    11. 720
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    INDEX
    Explanations

    statements about upcoming possibilities or potential outcomes

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases or expressions of possibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.74
     Travels
    -0.66
    perty
    -0.66
    cest
    -0.64
    rency
    -0.62
    athing
    -0.61
    rollers
    -0.61
     Enhancement
    -0.59
    PDATE
    -0.59
     performing
    -0.57
    POSITIVE LOGITS
     happen
    1.35
     mean
    1.17
     entail
    1.03
     imply
    0.99
     translate
    0.96
     explain
    0.94
    mean
    0.90
     include
    0.89
     happened
    0.88
     occur
    0.87
    Activations Density 0.131%

    No Known Activations