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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. 9-RES-JB
    11. 2457
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     knows
    -0.78
    agents
    -0.78
    artifacts
    -0.76
    pieces
    -0.72
    encies
    -0.70
    things
    -0.68
    yards
    -0.68
    ittens
    -0.67
     docs
    -0.67
     prefers
    -0.66
    POSITIVE LOGITS
     slew
    1.02
     flurry
    1.01
     whopping
    0.98
     scathing
    0.93
     lively
    0.91
     barrage
    0.91
     trio
    0.90
     mixture
    0.90
     procession
    0.89
     stunning
    0.89
    Activations Density 0.407%

    No Known Activations