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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. 12106
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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
    Not in Any Lists

    No Comments

    Negative Logits
     suscept
    -0.74
    aez
    -0.70
    nces
    -0.70
     Bened
    -0.67
    leness
    -0.65
    uben
    -0.63
     mine
    -0.62
    ierce
    -0.61
    wm
    -0.61
     incap
    -0.61
    POSITIVE LOGITS
    Evil
    0.75
    itar
    0.72
    ãĥ¼ãĥĨãĤ£
    0.72
    nikov
    0.62
    HL
    0.61
    phrine
    0.60
    ================================================================
    0.58
     strings
    0.58
    Pass
    0.58
    Arab
    0.57
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.