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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. 14524
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    Explanations

    mentions of the name "Mart" at varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo
    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
     deaf
    -0.73
    QUEST
    -0.70
    UTH
    -0.68
     eminent
    -0.68
    clips
    -0.65
     conce
    -0.65
     Norn
    -0.64
    WAYS
    -0.63
    HUD
    -0.62
     polarization
    -0.61
    POSITIVE LOGITS
    inez
    1.19
    yrs
    1.10
    yr
    1.09
    inal
    1.08
    ially
    1.08
    ial
    1.07
    inelli
    1.03
    ijn
    1.02
    ias
    0.99
    ians
    0.99
    Activations Density 0.025%

    No Known Activations