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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. 8-RES-JB
    11. 11178
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    Explanations

    expressions related to subscribing or signing up

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to subscription confirmations or notifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Dull
    -0.76
     Seah
    -0.75
     Grayson
    -0.68
     Henderson
    -0.64
     Canaver
    -0.64
     concussion
    -0.63
    etsk
    -0.63
     Bulgar
    -0.63
     pockets
    -0.63
    soDeliveryDate
    -0.62
    POSITIVE LOGITS
    interstitial
    0.78
     subscribing
    0.71
    Cola
    0.68
    minimum
    0.66
    ctory
    0.64
    Interstitial
    0.63
    ectar
    0.62
    \/
    0.62
    selling
    0.62
    Trend
    0.61
    Activations Density 0.025%

    No Known Activations