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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. 11-RES-JB
    11. 2160
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    INDEX
    Explanations

    specific measurements such as dimensions and weights in millimeters and kilograms

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to dimensions and weights

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    strings
    -0.98
    rowd
    -0.89
    byter
    -0.86
    versions
    -0.85
    agonist
    -0.85
    states
    -0.84
    Asset
    -0.84
    Neal
    -0.83
    buck
    -0.81
    employ
    -0.80
    POSITIVE LOGITS
     mm
    1.54
     km
    1.43
     cm
    1.42
     μ
    1.33
     kg
    1.32
     µ
    1.32
     nm
    1.30
     ÃĹ
    1.28
     m
    1.25
     mmol
    1.22
    Activations Density 0.073%

    No Known Activations