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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 14387
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    Explanations

    phrases related to data processing and analysis

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive scoring and teamwork dynamics

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    dx
    -0.70
    Corp
    -0.70
    ascript
    -0.65
    etics
    -0.62
    GI
    -0.62
    bow
    -0.60
    az
    -0.60
    âĢİ
    -0.60
    ppa
    -0.59
    iat
    -0.59
    POSITIVE LOGITS
     them
    0.85
    etheless
    0.79
     their
    0.78
     us
    0.77
     THEM
    0.70
     him
    0.70
     themselves
    0.70
     another
    0.69
     THEIR
    0.67
    Reviewer
    0.66
    Activations Density 0.498%

    No Known Activations