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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. 4349
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    Explanations

    names or terms related to legal professionals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people

    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
    olulu
    -0.83
    erest
    -0.80
    urst
    -0.77
    ccording
    -0.76
    orses
    -0.71
    ournal
    -0.67
    ancies
    -0.66
    ental
    -0.66
    entry
    -0.65
    ured
    -0.65
    POSITIVE LOGITS
    lein
    1.15
    wald
    0.99
    baum
    0.98
    stein
    0.96
    jee
    0.93
    geist
    0.90
    berger
    0.88
    meyer
    0.88
    bilt
    0.88
    hoff
    0.85
    Activations Density 0.113%

    No Known Activations