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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. 5148
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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
    ophers
    -0.76
     awake
    -0.66
    atha
    -0.66
    taboola
    -0.65
    uously
    -0.65
    ibilities
    -0.64
    arij
    -0.64
    ãĤ¨ãĥ«
    -0.63
    ï¸ı
    -0.62
    elines
    -0.62
    POSITIVE LOGITS
    xon
    0.79
    cano
    0.75
    venge
    0.72
    hyde
    0.70
     comet
    0.64
     baker
    0.63
    Fax
    0.62
    akespe
    0.62
    odan
    0.61
     filler
    0.61
    Activations Density 0.000%

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