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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
    11. 3188
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    Explanations

    concepts related to viewpoints or interpretations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to subjective interpretations and definitions of concepts

    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
    mson
    -0.72
    orst
    -0.71
    vine
    -0.70
    fam
    -0.70
    reau
    -0.68
     depended
    -0.64
    stead
    -0.64
    ktop
    -0.63
    hement
    -0.63
    imentary
    -0.62
    POSITIVE LOGITS
     how
    0.82
     criminality
    0.81
     what
    0.79
     morality
    0.77
     reality
    0.73
     masculinity
    0.72
     sexuality
    0.72
     homosexuality
    0.70
     events
    0.70
     rationality
    0.70
    Activations Density 0.171%

    No Known Activations