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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
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    terms related to the working class

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the working class and their societal issues

    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
    hemy
    -0.81
    antha
    -0.81
    anamo
    -0.76
     Ukrain
    -0.71
    asus
    -0.71
    Ń·
    -0.71
    netflix
    -0.69
    anas
    -0.69
    olulu
    -0.68
    ython
    -0.68
    POSITIVE LOGITS
     ethic
    0.82
    forces
    0.80
    aday
    0.80
     overtime
    0.80
    force
    0.74
    paces
    0.73
    bench
    0.70
    fare
    0.69
     class
    0.68
    horse
    0.68
    Activations Density 0.046%

    No Known Activations