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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. 6-RES-JB
    11. 9487
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    Explanations

    names and identities mentioned within text

    oai_token-act-pair · gpt-3.5-turbo

    the word "of" and its occurrences in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ô
    -0.82
    cano
    -0.74
    Redditor
    -0.70
    \\\\\\\\
    -0.67
    ãĥĪ
    -0.67
    body
    -0.66
    ÃĥÃĤ
    -0.65
    é¾
    -0.64
    zsche
    -0.64
    ãĤ©
    -0.64
    POSITIVE LOGITS
     both
    0.94
     various
    0.91
     Presidents
    0.82
     several
    0.78
     numerous
    0.77
     departments
    0.76
     innumerable
    0.76
     CEOs
    0.75
     dozens
    0.72
     countless
    0.71
    Activations Density 0.466%

    No Known Activations