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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. 14632
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    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
     cones
    -0.67
     Sections
    -0.67
    bats
    -0.66
    headers
    -0.64
     bins
    -0.64
     divisions
    -0.63
    appings
    -0.63
    eatures
    -0.62
    isites
    -0.62
     chromosomes
    -0.61
    POSITIVE LOGITS
     anywhere
    0.79
    chuk
    0.79
    ifier
    0.79
    .–
    0.77
     someday
    0.76
     or
    0.74
    izen
    0.74
    nik
    0.72
    uble
    0.72
    caster
    0.71
    Activations Density 0.440%

    No Known Activations