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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. 7-RES-JB
    11. 9697
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.71
    luck
    -0.67
    miah
    -0.65
    utsu
    -0.64
    isol
    -0.63
     crane
    -0.63
     Derby
    -0.62
     Variant
    -0.60
     experienced
    -0.60
    oleon
    -0.59
    POSITIVE LOGITS
    ances
    0.85
     distinction
    0.81
     distinctions
    0.78
     upfront
    0.71
    GoldMagikarp
    0.69
    Dispatch
    0.68
    ance
    0.66
    ledged
    0.66
     emphatically
    0.66
    \\\\\\\\
    0.64
    Activations Density 0.037%

    No Known Activations