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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. 4-RES-JB
    11. 19949
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ctica
    -0.76
    ython
    -0.66
     Syndrome
    -0.66
    walker
    -0.64
    tsky
    -0.64
    agonists
    -0.64
    tnc
    -0.63
    ropolis
    -0.63
    PF
    -0.63
    vez
    -0.62
    POSITIVE LOGITS
    ear
    0.75
    atin
    0.71
     Sie
    0.66
     Canal
    0.65
     Scand
    0.64
    ���
    0.64
    pperc
    0.61
    ims
    0.61
     Bon
    0.60
    have
    0.59
    Activations Density 0.000%

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