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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. 10-RES-JB
    11. 23226
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    Explanations

    dates in the format of month and year

    oai_token-act-pair · gpt-3.5-turbo

    instances of dates or parentheses in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cooler
    -0.75
     swe
    -0.74
     compromised
    -0.74
     tabloid
    -0.73
     techn
    -0.72
     sooner
    -0.72
     earlier
    -0.71
     increasingly
    -0.70
     overt
    -0.70
     fuzzy
    -0.69
    POSITIVE LOGITS
    5
    1.70
    4
    1.66
    7
    1.65
    6
    1.65
    3
    1.65
    8
    1.63
    9
    1.61
    10
    1.61
    13
    1.60
    1
    1.57
    Activations Density 0.095%

    No Known Activations