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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. 1-RES-JB
    11. 8975
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rid
    -0.70
    rium
    -0.67
     resign
    -0.67
     losing
    -0.63
     tun
    -0.62
     penn
    -0.61
     warranty
    -0.61
     ren
    -0.60
     loss
    -0.59
     downs
    -0.58
    POSITIVE LOGITS
     Lima
    0.85
     Carry
    0.74
    Guide
    0.73
    ebin
    0.71
    Cole
    0.69
    ikini
    0.68
    eva
    0.68
    Fore
    0.65
     Clyde
    0.65
    Assistant
    0.65
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.