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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. 9-RES-JB
    11. 19936
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    Explanations

    phrases related to specific professions or hobbies

    oai_token-act-pair · gpt-3.5-turbo

    references to specific professions, particularly in the culinary and outdoor activity domains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.72
     Pradesh
    -0.68
    holders
    -0.65
     Matter
    -0.63
    itement
    -0.62
    entity
    -0.62
    payer
    -0.61
    fman
    -0.59
    ership
    -0.59
    ition
    -0.59
    POSITIVE LOGITS
     extraord
    1.01
    ess
    0.90
     who
    0.89
    esses
    0.89
     laureate
    0.84
     enthusi
    0.81
     beware
    0.80
    who
    0.79
     specializing
    0.71
    hip
    0.71
    Activations Density 0.241%

    No Known Activations