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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. 7200
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    Explanations

    studies and research findings

    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
    gencies
    -0.65
    NetMessage
    -0.64
     actionGroup
    -0.62
     Blades
    -0.62
     Horus
    -0.61
    cius
    -0.61
    animate
    -0.59
     Nib
    -0.56
    artifacts
    -0.55
     Intermediate
    -0.55
    POSITIVE LOGITS
     titled
    0.81
     published
    0.80
     unearthed
    0.78
     commissioned
    0.78
     headlined
    0.78
    study
    0.74
     conducted
    0.74
     suggests
    0.73
     analys
    0.73
     released
    0.71
    Activations Density 0.112%

    No Known Activations