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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. 10-RES-JB
    6. 23029
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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
    oses
    -0.76
    istics
    -0.64
    astically
    -0.59
    ournal
    -0.58
    ANK
    -0.58
    ials
    -0.57
    iary
    -0.56
    astic
    -0.56
     ______
    -0.55
    iates
    -0.55
    POSITIVE LOGITS
    lla
    1.25
    llan
    1.17
    lli
    1.07
    llers
    1.05
    lling
    1.05
    lda
    1.04
    ll
    1.01
    ller
    1.00
    tta
    0.97
    hart
    0.96
    Activations Density 0.125%

    No Known Activations