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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. 11-RES-JB
    11. 22255
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    Explanations

    dates in the format month-day (e.g., January 25) preceded by parentheses

    oai_token-act-pair · gpt-3.5-turbo

    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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     departed
    -0.61
     vanishing
    -0.60
     cz
    -0.60
     fle
    -0.59
     majesty
    -0.58
     mant
    -0.58
     impe
    -0.57
     castles
    -0.57
     castle
    -0.56
     propositions
    -0.56
    POSITIVE LOGITS
    Reuters
    1.06
    Thom
    1.05
    IPS
    0.97
    UP
    0.96
    AFP
    0.90
    AP
    0.83
    BUS
    0.81
    ENS
    0.78
    Vers
    0.77
    IR
    0.76
    Activations Density 0.014%

    No Known Activations