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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. 3625
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    INDEX
    Explanations

    phrases indicating surprise or realization

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or exclamation

    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
    •layer 3 - surprise

    No Comments

    Negative Logits
    eers
    -0.74
     Colossus
    -0.70
    eering
    -0.70
     Daredevil
    -0.70
     Purg
    -0.70
     fullest
    -0.68
     screened
    -0.66
    lined
    -0.65
    exclusive
    -0.64
    Reviewed
    -0.64
    POSITIVE LOGITS
    renheit
    1.11
    ahah
    1.04
    azard
    0.98
    mph
    0.97
    ghan
    0.94
    ancock
    0.88
    undai
    0.88
    aha
    0.87
    oy
    0.87
    Ah
    0.87
    Activations Density 0.006%

    No Known Activations