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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. 4-RES-JB
    11. 2710
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    Explanations

    words related to potential future outcomes or situations

    oai_token-act-pair · gpt-3.5-turbo

    references to future expectations or potential outcomes

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

    No Comments

    Negative Logits
    chy
    -0.67
    inters
    -0.65
    woods
    -0.64
    ogie
    -0.64
    ffe
    -0.63
    lap
    -0.62
    vard
    -0.61
     Bowl
    -0.61
    dos
    -0.60
    ahime
    -0.60
    POSITIVE LOGITS
     prospect
    0.95
    ively
    0.94
     prospects
    0.91
    uring
    0.85
     horizon
    0.82
    ures
    0.80
    ually
    0.79
    uses
    0.78
    icons
    0.76
    iful
    0.75
    Activations Density 0.009%

    No Known Activations