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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. 1475
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    specific times of day

    oai_token-act-pair · gpt-3.5-turbo

    time references

    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
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    Negative Logits
    lessly
    -0.73
    alogy
    -0.68
    izoph
    -0.67
    ufact
    -0.65
    saf
    -0.62
    asel
    -0.62
    lessness
    -0.60
    channelAvailability
    -0.59
     belie
    -0.58
     prolifer
    -0.57
    POSITIVE LOGITS
    pm
    1.35
     pm
    1.29
    PM
    1.21
    AM
    1.00
     PM
    0.98
     PST
    0.96
     hrs
    0.96
    GMT
    0.95
     PDT
    0.94
     noon
    0.93
    Activations Density 0.037%

    No Known Activations