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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. 24197
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    Explanations

    phrases related to taking action or making statements

    oai_token-act-pair · gpt-3.5-turbo

    phrases or terms related to declarations or statements made by individuals

    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
     conclud
    -0.74
    ufact
    -0.71
     belie
    -0.70
     satisfy
    -0.67
    inson
    -0.66
     seamlessly
    -0.63
     mirac
    -0.62
    brew
    -0.60
     consumed
    -0.59
    lishes
    -0.59
    POSITIVE LOGITS
     bluff
    0.77
     NCT
    0.70
     hotline
    0.66
    tera
    0.65
    LOCK
    0.65
    tip
    0.65
    代
    0.64
    Choice
    0.63
    EStream
    0.63
    Champ
    0.62
    Activations Density 0.188%

    No Known Activations