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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. 4-RES-JB
    11. 13731
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    Explanations

    phrases related to criticisms or attacks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action or making decisions

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

    No Comments

    Negative Logits
    osity
    -0.73
    ndra
    -0.70
    area
    -0.70
    ivities
    -0.69
    bia
    -0.69
    apo
    -0.67
    margin
    -0.66
    tra
    -0.62
    anni
    -0.62
    iae
    -0.62
    POSITIVE LOGITS
     seriously
    0.96
    kef
    0.86
     lightly
    0.76
     Seriously
    0.74
     reins
    0.74
    aukee
    0.70
     largeDownload
    0.69
     cue
    0.68
     offline
    0.68
     aback
    0.67
    Activations Density 0.139%

    No Known Activations