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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. 3-RES-JB
    11. 23515
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    INDEX
    Explanations

    instances of participation or involvement in events or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to participation in events or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    incinn
    -0.68
    asu
    -0.67
    eli
    -0.64
    Hop
    -0.62
    yth
    -0.62
    anyon
    -0.61
    antic
    -0.60
    achus
    -0.60
    ministic
    -0.59
    Arch
    -0.58
    POSITIVE LOGITS
    icularly
    0.72
    aking
    0.71
    ials
    0.71
    ners
    0.70
    ICLE
    0.68
    meal
    0.65
    icular
    0.65
    ition
    0.65
    icles
    0.65
    ially
    0.64
    Activations Density 0.048%

    No Known Activations