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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 7109
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Xen
    -0.61
     Hud
    -0.60
    _>
    -0.59
    anamo
    -0.57
     distances
    -0.56
     Anon
    -0.55
     condem
    -0.55
     Lank
    -0.54
     QC
    -0.54
     slack
    -0.54
    POSITIVE LOGITS
    th
    1.71
    ieth
    1.25
     anniversary
    1.23
    rd
    1.23
    teenth
    1.20
     birthday
    1.11
    venth
    1.02
    thal
    1.02
    iversary
    1.00
    nd
    1.00
    Activations Density 0.067%

    No Known Activations