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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. 570
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    Explanations

    commands or instructions directing specific actions or behaviors

    oai_token-act-pair · gpt-3.5-turbo

    commands or actions directed at others

    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
     strikingly
    -0.72
    requent
    -0.71
     relatively
    -0.69
     largely
    -0.69
     purported
    -0.68
     Particip
    -0.67
    ustomed
    -0.67
     markedly
    -0.66
     supplemented
    -0.66
    umerous
    -0.65
    POSITIVE LOGITS
     me
    1.47
     ya
    1.30
     him
    1.18
     yourselves
    1.12
     us
    1.12
     my
    1.06
     thee
    1.04
     daddy
    1.03
     HIM
    1.03
     fuckin
    1.03
    Activations Density 0.523%

    No Known Activations