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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. 11-RES-JB
    11. 12788
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    Explanations

    phrases related to planning or strategies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to thoroughness and clarity in strategies and investigations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    aunts
    -0.98
     quirks
    -0.88
    andals
    -0.84
    ifles
    -0.84
    hops
    -0.83
    features
    -0.83
    anders
    -0.79
    ients
    -0.78
    iddles
    -0.78
    uders
    -0.77
    POSITIVE LOGITS
     solution
    1.19
     roadmap
    1.16
     framework
    1.16
     explanation
    1.15
     approach
    1.13
     understanding
    1.10
     pathway
    1.10
     timetable
    1.07
     assessment
    1.03
     timeline
    1.03
    Activations Density 0.230%

    No Known Activations