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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. 3-RES-JB
    11. 8856
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    Explanations

    words related to creating excitement or agitation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "stir"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.74
     Mavericks
    -0.73
    ©¶æ
    -0.72
    ocado
    -0.68
     Defenders
    -0.66
     Covenant
    -0.64
    merce
    -0.64
    vironments
    -0.64
     Soccer
    -0.64
     Swords
    -0.63
    POSITIVE LOGITS
     stir
    1.15
    rings
    1.02
     stirred
    0.98
     stirring
    0.92
     fry
    0.91
    rer
    0.89
    rup
    0.85
    lings
    0.83
    rers
    0.82
     Stir
    0.79
    Activations Density 0.014%

    No Known Activations