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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. 19629
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    Explanations

    financial terminology related to company earnings

    oai_token-act-pair · gpt-3.5-turbo

    references to earnings in financial reports

    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
    ohydrate
    -0.81
    idding
    -0.79
    naire
    -0.79
    assis
    -0.76
    ohyd
    -0.75
    ategory
    -0.74
    atro
    -0.71
     Vu
    -0.71
    trak
    -0.70
    ayn
    -0.70
    POSITIVE LOGITS
    hold
    0.72
    sburg
    0.71
     report
    0.68
     briefings
    0.65
     REPORT
    0.65
     oats
    0.64
    sheet
    0.63
     announcements
    0.61
     Transcript
    0.61
    report
    0.61
    Activations Density 0.069%

    No Known Activations