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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. 0-RES-JB
    11. 15565
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    Explanations

    dates in the format of month/day/year

    oai_token-act-pair · gpt-3.5-turbo

    date and time references in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cond
    -0.63
     statistic
    -0.61
     literacy
    -0.59
    vation
    -0.58
     projections
    -0.58
     ter
    -0.55
     Chrom
    -0.55
     Pulitzer
    -0.53
     mat
    -0.53
     temper
    -0.53
    POSITIVE LOGITS
     03
    3.03
     04
    3.01
     05
    3.00
     02
    2.92
     06
    2.88
     07
    2.77
     08
    2.71
     09
    2.63
     01
    2.56
     00
    1.99
    Activations Density 0.018%

    No Known Activations