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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22986
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Willis
    -0.94
    Mont
    -0.88
    978
    -0.85
     Mont
    -0.79
     Wynne
    -0.78
     Truman
    -0.76
     Painter
    -0.75
     neutron
    -0.75
     Polk
    -0.73
    Mel
    -0.72
    POSITIVE LOGITS
    ig
    1.44
    igs
    1.42
    IG
    1.40
    ags
    1.32
    ag
    1.31
    og
    1.31
     Sag
    1.21
     Sig
    1.18
    OG
    1.16
    AG
    1.14
    Activations Density 0.352%

    No Known Activations