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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. 7-RES-JB
    11. 21649
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    INDEX
    Explanations

    comparisons or contrasts between different sizes or quantities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to quantitative metrics and evaluations in economic or scientific contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lone
    -0.59
    tiny
    -0.57
     Command
    -0.56
     vast
    -0.55
     ³³
    -0.55
    avorite
    -0.55
     HUN
    -0.54
    algia
    -0.54
    haar
    -0.53
    CVE
    -0.53
    POSITIVE LOGITS
    than
    2.00
     than
    1.87
     Than
    1.31
    models
    0.75
     Faster
    0.70
     wiser
    0.66
     harsher
    0.65
     prevail
    0.65
    nings
    0.65
    iating
    0.64
    Activations Density 0.300%

    No Known Activations