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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 14291
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    Explanations

    details related to specific dates, locations, and events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alam
    -0.64
    Reviewer
    -0.62
    zech
    -0.59
    phas
    -0.58
    utations
    -0.56
    Score
    -0.56
    akedown
    -0.55
    \)
    -0.55
    ride
    -0.55
    hett
    -0.54
    POSITIVE LOGITS
     February
    1.75
     July
    1.75
     October
    1.74
     April
    1.73
     September
    1.73
     March
    1.71
     December
    1.71
     November
    1.70
     Feb
    1.70
     June
    1.69
    Activations Density 1.557%

    No Known Activations