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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. 12583
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    INDEX
    Explanations

    mentions of various professions in text, indicating an interest in job roles or career paths

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various professions and occupations

    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
     Oo
    -0.74
     Meier
    -0.69
    coni
    -0.65
     Tripoli
    -0.65
     Jamaica
    -0.62
     MAD
    -0.62
     Sudan
    -0.62
     Rockets
    -0.62
     Cuomo
    -0.61
     Mald
    -0.60
    POSITIVE LOGITS
    smanship
    0.86
     professions
    0.85
     Profession
    0.82
    Builder
    0.79
    oreal
    0.78
    rentices
    0.78
    ession
    0.77
    ically
    0.76
    istry
    0.76
     profession
    0.75
    Activations Density 0.046%

    No Known Activations