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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. 8-RES-JB
    11. 14205
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    Explanations

    emotional or impactful phrases related to personal beliefs or experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to emotional connections and social situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    emouth
    -0.68
    atile
    -0.63
    malink
    -0.63
    aina
    -0.62
    Loading
    -0.61
    equality
    -0.59
     Flavoring
    -0.59
    cmp
    -0.59
    enna
    -0.58
    zinski
    -0.58
    POSITIVE LOGITS
     notwithstanding
    0.79
    !--
    0.78
    _.
    0.76
     anyway
    0.73
    )!
    0.69
    !).
    0.68
     shalt
    0.66
     perhaps
    0.65
     persuasion
    0.65
    )--
    0.64
    Activations Density 0.467%

    No Known Activations