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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. 14003
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    INDEX
    Explanations

    references to time periods and durations of time

    oai_token-act-pair · gpt-3.5-turbo

    recurring phrases and references related to a particular year or timeframe

    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
    rg
    -0.67
    icz
    -0.66
    Query
    -0.63
    hyde
    -0.63
    kel
    -0.63
    ysis
    -0.62
    stood
    -0.61
    terness
    -0.61
    jac
    -0.59
    _-
    -0.59
    POSITIVE LOGITS
     bunch
    1.20
     millennium
    0.93
     era
    0.82
     generation
    0.80
     day
    0.78
     evening
    0.78
     crop
    0.78
     afternoon
    0.77
     century
    0.76
     year
    0.75
    Activations Density 0.158%

    No Known Activations