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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. 6-RES-JB
    11. 12228
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    Explanations

    words related to discounts, promotions, and exchanging value

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vouchers and coupons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ropolis
    -0.76
     Citiz
    -0.74
    ffen
    -0.69
    ford
    -0.68
    scape
    -0.64
    rite
    -0.63
    estone
    -0.63
    castle
    -0.63
    shore
    -0.61
    places
    -0.60
    POSITIVE LOGITS
     redeem
    0.90
     redeemed
    0.86
     coupons
    0.78
    agraph
    0.77
    Letter
    0.73
    matic
    0.69
     vouchers
    0.69
    text
    0.68
     stamps
    0.68
     redemption
    0.67
    Activations Density 0.054%

    No Known Activations