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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. 6449
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    Explanations

    words related to cooking techniques or equipment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to processes and actions involving conversion and reproduction

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    oola
    -0.61
     goodbye
    -0.60
    AIN
    -0.60
     fate
    -0.59
     suspicions
    -0.59
    IAN
    -0.57
    OWS
    -0.57
    ONES
    -0.57
     Anonymous
    -0.56
    ocene
    -0.56
    POSITIVE LOGITS
    ctions
    1.54
    ctive
    1.40
    ction
    1.37
    ctors
    1.35
    ptive
    1.35
    cible
    1.29
    ptions
    1.29
    ctor
    1.28
    ller
    1.17
    vered
    1.14
    Activations Density 0.086%

    No Known Activations