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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. 10-RES-JB
    11. 24544
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    Explanations

    mentions of realization or understanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of "how" in contexts of realization or awareness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.74
    usa
    -0.69
    76561
    -0.68
    src
    -0.68
    inian
    -0.67
    orem
    -0.67
    icipated
    -0.63
    Newsletter
    -0.62
    UM
    -0.62
    ubs
    -0.62
    POSITIVE LOGITS
     much
    1.29
     badly
    1.14
     important
    1.13
     far
    1.12
     fragile
    1.11
     insignificant
    1.11
     difficult
    1.10
     easy
    1.07
     lucky
    1.06
     ridiculous
    1.06
    Activations Density 0.080%

    No Known Activations