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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. 9-RES-JB
    11. 5905
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    Explanations

    phrases expressing realization or emphasis, often related to the depth or severity of a situation

    oai_token-act-pair · gpt-3.5-turbo

    questions and statements that emphasize the concept of "how" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.73
    src
    -0.68
    UME
    -0.67
    advertisement
    -0.66
    EStream
    -0.65
    Allow
    -0.64
    claim
    -0.63
    usa
    -0.63
    inian
    -0.62
    holder
    -0.62
    POSITIVE LOGITS
     much
    1.21
     far
    1.05
     badly
    1.02
    ls
    1.00
     insignificant
    0.98
     prevalent
    0.96
     MUCH
    0.95
     ridiculous
    0.94
     messed
    0.93
     fragile
    0.93
    Activations Density 0.099%

    No Known Activations