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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. 1-RES-JB
    11. 11215
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    Explanations

    mentions of excitement or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or happiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    adr
    -0.80
    ioxide
    -0.79
    opic
    -0.78
    ©¶æ
    -0.73
    arettes
    -0.71
    mine
    -0.71
    roads
    -0.70
    allows
    -0.70
    rules
    -0.69
    grad
    -0.69
    POSITIVE LOGITS
     thrilled
    1.07
     delighted
    0.95
     ecstatic
    0.88
     excited
    0.87
     cheering
    0.79
     aboard
    0.76
    GGGGGGGG
    0.76
    ĸļ
    0.75
     applause
    0.73
     cheers
    0.73
    Activations Density 0.007%

    No Known Activations