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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. 10-RES-JB
    11. 12120
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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
    Regular
    -0.58
    Body
    -0.57
    odder
    -0.56
    INESS
    -0.56
    Dean
    -0.54
    aints
    -0.53
    Hamilton
    -0.53
    Warren
    -0.53
     Explosion
    -0.53
    Matthew
    -0.52
    POSITIVE LOGITS
    ño
    0.98
    ndum
    0.94
    xit
    0.92
    lla
    0.88
    ppe
    0.87
    va
    0.86
    ppo
    0.86
    pta
    0.85
    lda
    0.85
    ppa
    0.85
    Activations Density 0.107%

    No Known Activations