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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. 1-RES-JB
    11. 23372
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    merce
    -0.91
    eanor
    -0.90
    geries
    -0.87
    psons
    -0.77
    imester
    -0.77
    ework
    -0.77
    ebus
    -0.74
    ropolitan
    -0.74
    ality
    -0.74
    berman
    -0.74
    POSITIVE LOGITS
     Hansen
    1.18
    IRO
    0.85
    HI
    0.85
    ansen
    0.85
    bard
    0.84
     Hanson
    0.79
    bone
    0.77
    kj
    0.74
    IGH
    0.72
    idge
    0.71
    Activations Density 0.017%

    No Known Activations