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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 13179
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    Explanations

    instances where the text prompts the user to take action, specifically to provide an email address and subscribe

    oai_token-act-pair · gpt-3.5-turbo

    second-person pronouns addressing the reader directly

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    abama
    -0.74
     Aberdeen
    -0.70
    amaz
    -0.66
    prim
    -0.65
    ³³³³
    -0.64
    achable
    -0.63
     Aber
    -0.62
    iard
    -0.62
     Prediction
    -0.61
    itism
    -0.61
    POSITIVE LOGITS
    're
    1.29
    've
    1.10
    'll
    1.09
     may
    0.92
    'd
    0.91
     can
    0.83
     might
    0.80
     cannot
    0.78
    RS
    0.75
     must
    0.75
    Activations Density 0.046%

    No Known Activations