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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. 10-RES-JB
    6. 21182
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    Explanations

    phrases indicating a strong positive outcome or response

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "resound" and its variations, indicating strong emphasis or agreement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Romans
    -0.78
     Welsh
    -0.71
     Galile
    -0.64
     Catalan
    -0.63
     Jobs
    -0.62
     spoilers
    -0.61
     Holmes
    -0.60
     Turks
    -0.60
     Masters
    -0.59
    BALL
    -0.59
    POSITIVE LOGITS
    ounding
    1.32
    ourced
    1.25
    olute
    1.23
    umption
    1.21
    olutely
    1.19
    pec
    1.18
    uming
    1.12
    olver
    1.12
    ourcing
    1.11
    itance
    1.10
    Activations Density 0.011%

    No Known Activations