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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. 6-RES-JB
    11. 1569
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    INDEX
    Explanations

    ratios and numerical relationships within text

    oai_token-act-pair · gpt-3.5-turbo

    textual references to statistical ratios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gotten
    -0.88
    inelli
    -0.79
    dream
    -0.79
    uggage
    -0.71
    REAM
    -0.68
    usions
    -0.64
    pocket
    -0.64
    asts
    -0.64
    bies
    -0.63
    ORE
    -0.63
    POSITIVE LOGITS
    xual
    1.08
     ratios
    0.97
     ratio
    0.97
     mismatch
    0.85
    yip
    0.85
     numer
    0.79
    ically
    0.75
    ical
    0.72
     sum
    0.70
    nces
    0.69
    Activations Density 0.018%

    No Known Activations