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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. 6-RES-JB
    6. 16393
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    INDEX
    Explanations

    phrases related to praising or commending

    oai_token-act-pair · gpt-3.5-turbo

    instances of praise and admiration directed towards individuals or groups

    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
    nel
    -0.82
    itol
    -0.74
    matter
    -0.70
    tails
    -0.68
    iba
    -0.66
    alde
    -0.64
    netflix
    -0.64
    ombs
    -0.63
    claimer
    -0.60
     Hayward
    -0.60
    POSITIVE LOGITS
     accomplishments
    1.12
     accomplishment
    1.09
     virtues
    1.06
     bravery
    1.04
     achievements
    1.01
     courage
    0.96
     professionalism
    0.92
     heroism
    0.92
     achievement
    0.92
     successes
    0.90
    Activations Density 0.229%

    No Known Activations