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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. 8-RES-JB
    11. 2302
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    Explanations

    numerical values mixed with physical measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to food sources and dietary habits of animals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NCT
    -0.92
    LM
    -0.78
    soDeliveryDate
    -0.77
     PSU
    -0.75
    mberg
    -0.74
    DCS
    -0.73
    isSpecialOrderable
    -0.73
    student
    -0.72
    displayText
    -0.72
     Voter
    -0.71
    POSITIVE LOGITS
     mating
    1.35
     prey
    1.34
     habitat
    1.18
     hiber
    1.16
     scaven
    1.15
     grazing
    1.15
     habitats
    1.12
     nests
    1.12
     predators
    1.10
     bark
    1.09
    Activations Density 0.862%

    No Known Activations