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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. 17531
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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
    wagon
    -0.76
     Airlines
    -0.73
    bags
    -0.70
    MSN
    -0.70
     Transcript
    -0.66
    iatus
    -0.66
    irens
    -0.65
    ipop
    -0.64
    asse
    -0.63
    cases
    -0.63
    POSITIVE LOGITS
    rop
    0.71
    ight
    0.66
    rous
    0.65
    bey
    0.64
    onial
    0.63
    ivities
    0.63
     classmate
    0.62
    ilated
    0.60
    ivity
    0.59
    ulic
    0.59
    Activations Density 0.000%

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