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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. 11-RES-JB
    11. 21846
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    Explanations

    descriptions of highly skilled and competent individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to skilled and competent individuals in a professional context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è£ħ
    -0.83
    ktop
    -0.78
    ĸļ
    -0.76
    eu
    -0.74
    ãĤ¨ãĥ«
    -0.73
    avia
    -0.72
    uer
    -0.72
    isite
    -0.71
    20439
    -0.71
    utra
    -0.70
    POSITIVE LOGITS
     professionals
    1.23
     individuals
    1.22
     businessmen
    1.07
     young
    1.06
     minds
    1.02
     entrepreneurs
    1.00
     volunteers
    1.00
     youngsters
    0.98
     patri
    0.92
     folks
    0.91
    Activations Density 0.201%

    No Known Activations