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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. 7-RES-JB
    6. 2461
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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
    hood
    -0.74
    LOAD
    -0.69
    senal
    -0.68
    士
    -0.67
     Nightmares
    -0.66
    iard
    -0.66
     Advertisement
    -0.65
    igham
    -0.64
    ãĥ¯
    -0.64
    sburgh
    -0.64
    POSITIVE LOGITS
    roph
    1.18
    rament
    1.13
    igmat
    1.11
    rology
    1.08
    rolog
    1.04
    ron
    1.04
    ro
    1.00
    rop
    0.98
    ral
    0.98
    rob
    0.96
    Activations Density 0.024%

    No Known Activations