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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. 13553
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    INDEX
    Explanations

    phrases related to quotes in spoken conversation

    oai_token-act-pair · gpt-3.5-turbo

    quotes from eyewitnesses

    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
    iates
    -0.74
    idelines
    -0.74
    commit
    -0.71
    conduct
    -0.71
     methodological
    -0.69
    rats
    -0.68
     scholars
    -0.68
     publishes
    -0.67
    TeX
    -0.66
     blacklist
    -0.66
    POSITIVE LOGITS
     neighbor
    0.92
     sob
    0.91
     yelled
    0.83
     remembering
    0.83
     recalling
    0.80
    Neigh
    0.78
     neighbour
    0.76
     choked
    0.76
     homeowner
    0.75
     Cindy
    0.75
    Activations Density 0.287%

    No Known Activations