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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. 3-RES-JB
    11. 23108
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    assium
    -0.71
    DERR
    -0.69
     chemistry
    -0.67
     uptake
    -0.66
     Chemistry
    -0.65
     combustion
    -0.64
     Jarrett
    -0.62
    iencies
    -0.62
    ENTS
    -0.62
     Calories
    -0.61
    POSITIVE LOGITS
    ©¶æ
    0.98
    sein
    0.70
     theme
    0.67
    itone
    0.63
     illust
    0.63
    hist
    0.62
    agh
    0.61
    adv
    0.61
    gamer
    0.61
    ryu
    0.61
    Activations Density 0.000%

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