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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. 5053
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    Explanations

    references to snow-related terms

    oai_token-act-pair · gpt-3.5-turbo
    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
    ENTION
    -0.78
    =-=-=-=-=-=-=-=-
    -0.72
    ysis
    -0.71
    ###
    -0.68
    ister
    -0.67
     educ
    -0.67
    ########
    -0.65
    entric
    -0.65
    aird
    -0.64
     Jinn
    -0.64
    POSITIVE LOGITS
    flake
    1.70
    fall
    1.17
    balls
    1.06
    storm
    1.05
    boarding
    1.05
    mobile
    1.03
     Leopard
    1.02
    storms
    1.02
    tro
    1.00
    banks
    0.97
    Activations Density 0.031%

    No Known Activations