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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. 6490
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    Explanations

    phrases related to rushed or last-minute actions

    oai_token-act-pair · gpt-3.5-turbo

    references to last-minute decisions or actions

    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
     Bhar
    -0.60
     BMC
    -0.58
     Cah
    -0.57
     Went
    -0.57
     BACK
    -0.54
     INF
    -0.54
     Trog
    -0.54
     Edgar
    -0.54
     Fein
    -0.54
     back
    -0.53
    POSITIVE LOGITS
    minute
    1.48
    chance
    1.19
    second
    1.10
     gasp
    0.92
     minute
    0.92
    mile
    0.89
    gu
    0.88
     ditch
    0.87
    Chance
    0.86
    hitting
    0.86
    Activations Density 0.037%

    No Known Activations