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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. 7-RES-JB
    11. 19322
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    Explanations

    expressions of strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotion and personal feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pora
    -0.82
    etheus
    -0.78
    successfully
    -0.75
    tie
    -0.73
    afort
    -0.72
    inducing
    -0.71
    grave
    -0.67
    robe
    -0.67
    egal
    -0.66
    ult
    -0.65
    POSITIVE LOGITS
    ifiable
    0.79
     plain
    0.76
     Facts
    0.75
    cks
    0.73
     coincidence
    0.71
     darn
    0.69
     curiosity
    0.67
     shrug
    0.66
    ãģł
    0.65
     scratch
    0.64
    Activations Density 0.358%

    No Known Activations