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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. 22607
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    Explanations

    mentions of people's professions or job titles along with their name

    oai_token-act-pair · gpt-3.5-turbo

    the names and roles of various individuals in professional contexts

    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
    itized
    -0.79
    merce
    -0.71
    ugal
    -0.71
    lies
    -0.71
    suits
    -0.71
     gains
    -0.70
     overhe
    -0.69
    devices
    -0.69
     excludes
    -0.68
     lasts
    -0.68
    POSITIVE LOGITS
     Editor
    0.96
     Pulitzer
    0.95
     pastor
    0.94
     PhD
    0.91
     Associate
    0.87
     lecturer
    0.86
     editor
    0.85
     freelance
    0.85
     Uriel
    0.84
     Supervisor
    0.83
    Activations Density 0.207%

    No Known Activations