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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. 10-RES-JB
    11. 4448
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    Explanations

    the word "Wolf"

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     quo
    -0.69
     centrif
    -0.68
    thritis
    -0.64
     fuse
    -0.62
     contrace
    -0.62
     Suz
    -0.61
     seiz
    -0.60
    kson
    -0.60
    acists
    -0.59
     causation
    -0.59
    POSITIVE LOGITS
    enstein
    1.42
    sburg
    1.40
    hound
    1.26
    ram
    1.19
    owitz
    1.14
    pack
    1.13
    gang
    1.07
    endor
    0.99
    sonian
    0.98
    rider
    0.98
    Activations Density 0.025%

    No Known Activations