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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. 7427
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    Explanations

    scientific names of species

    oai_token-act-pair · gpt-3.5-turbo

    scientific names and classifications of species

    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
    arted
    -0.73
    setting
    -0.71
    cipled
    -0.71
    rency
    -0.70
    writers
    -0.69
    writing
    -0.68
    idth
    -0.67
    lifting
    -0.66
    ammy
    -0.65
     broadcasting
    -0.64
    POSITIVE LOGITS
    aceae
    1.56
    idae
    1.31
    illus
    1.18
     genus
    1.07
    opsis
    1.03
     species
    1.01
     Species
    1.01
    osaurus
    1.00
     coli
    0.95
    ococ
    0.95
    Activations Density 0.132%

    No Known Activations