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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. 24113
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    Explanations

    times of day in 12-hour format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of time indicators in a narrative context

    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
     activ
    -0.82
     infl
    -0.82
     appropriation
    -0.81
     regress
    -0.79
     comparisons
    -0.78
     folds
    -0.77
     expansions
    -0.77
     labeling
    -0.74
     conventions
    -0.74
     expanding
    -0.74
    POSITIVE LOGITS
    30
    1.31
    45
    1.19
    5
    1.14
    50
    1.13
    75
    1.09
    25
    1.05
    15
    1.04
    00
    1.03
    59
    1.03
    55
    1.03
    Activations Density 0.042%

    No Known Activations