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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. 4-RES-JB
    11. 18415
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    Explanations

    words related to spokesperson activities or statements

    oai_token-act-pair · gpt-3.5-turbo

    references to speakers or spokespersons

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

    No Comments

    Negative Logits
     Scotia
    -0.79
    displayText
    -0.73
     Scouting
    -0.69
     Shutterstock
    -0.67
     salvage
    -0.67
     saving
    -0.65
     save
    -0.63
    OX
    -0.61
    UCT
    -0.61
     magnitude
    -0.60
    POSITIVE LOGITS
    lus
    0.85
    olic
    0.83
    bara
    0.82
    woman
    0.81
    person
    0.80
    hops
    0.77
    witz
    0.76
    geon
    0.76
     Desk
    0.76
    erver
    0.76
    Activations Density 0.012%

    No Known Activations