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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. 5557
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    INDEX
    Explanations

    references to time-related events or deadlines

    oai_token-act-pair · gpt-3.5-turbo

    references to specific time periods, particularly years and seasons

    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
    Els
    -0.69
    emouth
    -0.65
     Brew
    -0.64
     bom
    -0.63
    seless
    -0.62
     Moons
    -0.62
    ogle
    -0.62
     backdrop
    -0.61
    pload
    -0.58
     polic
    -0.58
    POSITIVE LOGITS
    spection
    0.81
     inspections
    0.69
    2019
    0.66
     exams
    0.63
    sec
    0.63
    aires
    0.62
     examinations
    0.62
    mort
    0.59
    ividual
    0.59
    ving
    0.59
    Activations Density 0.060%

    No Known Activations