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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. 2054
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    Explanations

    terms related to academic fields and professions, particularly in the fields of science, engineering, and academia

    oai_token-act-pair · gpt-3.5-turbo

    academic fields and disciplines related to engineering and sciences

    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
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    No Comments

    Negative Logits
    20439
    -0.81
    ãĤ®
    -0.69
     calendars
    -0.69
     territories
    -0.67
    ittees
    -0.67
     boxes
    -0.67
    Sov
    -0.66
    ãĥ¯ãĥ³
    -0.66
     Valkyrie
    -0.65
     troop
    -0.64
    POSITIVE LOGITS
     Sciences
    0.98
     Studies
    0.90
     Physics
    0.89
    keley
    0.88
    ukemia
    0.87
     emer
    0.83
     Harvard
    0.83
     Cornell
    0.82
     Biology
    0.81
     Yale
    0.80
    Activations Density 0.092%

    No Known Activations