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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. 9-RES-JB
    6. 10437
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    Explanations

    information related to incidents, injuries, identification, and legal proceedings

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, specifically commas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iots
    -0.78
    strate
    -0.77
    inately
    -0.75
    chant
    -0.74
    fort
    -0.72
    reated
    -0.72
    obyl
    -0.72
    acas
    -0.72
    agine
    -0.71
    izen
    -0.71
    POSITIVE LOGITS
     though
    1.25
     although
    1.19
     however
    1.18
     but
    1.12
     whereas
    1.00
     meanwhile
    0.95
     followed
    0.95
     including
    0.95
     according
    0.93
     meaning
    0.92
    Activations Density 0.464%

    No Known Activations