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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. 315
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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
    bons
    -0.73
    ck
    -0.72
    athered
    -0.70
    pher
    -0.69
    sha
    -0.68
    hoe
    -0.68
     gestation
    -0.67
    oba
    -0.66
    issance
    -0.64
    jas
    -0.63
    POSITIVE LOGITS
     CoC
    0.71
     Detention
    0.70
    Jet
    0.70
     Sakuya
    0.69
     Prompt
    0.68
     Commando
    0.65
    Dial
    0.65
     Showdown
    0.64
     locale
    0.63
     Craigslist
    0.63
    Activations Density 0.000%

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