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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. 6-RES-JB
    11. 11681
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    Explanations

    dates in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific years and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.75
    izoph
    -0.74
    phia
    -0.74
     predec
    -0.72
    matically
    -0.70
     ingred
    -0.66
    overs
    -0.64
    acebook
    -0.64
     undermin
    -0.64
    unn
    -0.63
    POSITIVE LOGITS
     partName
    1.05
     GMT
    0.95
     07
    0.86
     02
    0.86
     08
    0.85
     UTC
    0.84
     PST
    0.78
     04
    0.77
     09
    0.77
     03
    0.76
    Activations Density 0.056%

    No Known Activations