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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. 2451
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    Explanations

    superlatives to describe the significance or impact of a subject

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize a significant or notable quality or aspect of something

    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
    mons
    -0.66
    umed
    -0.66
    olls
    -0.63
     lanes
    -0.63
    ume
    -0.60
     Griffith
    -0.59
     Blend
    -0.59
    umes
    -0.57
    Score
    -0.57
    bound
    -0.57
    POSITIVE LOGITS
     distingu
    0.77
     fore
    0.71
     overlooked
    0.71
     understatement
    0.71
     striking
    0.70
     conceivable
    0.69
     consolation
    0.69
     underrated
    0.67
     notable
    0.66
     illust
    0.65
    Activations Density 0.044%

    No Known Activations