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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. 12-RES-JB
    11. 4732
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    Explanations

    keywords related to products and their descriptions

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    items related to product packaging and special editions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    ãĤ´ãĥ³
    -0.73
    someone
    -0.73
    venge
    -0.71
    hov
    -0.71
    ndra
    -0.68
    zinski
    -0.67
    devices
    -0.67
    FML
    -0.67
    neys
    -0.66
    ablished
    -0.66
    POSITIVE LOGITS
     lith
    1.29
     booklet
    1.23
     Signed
    1.16
     numbered
    1.14
     poster
    1.09
     Poster
    1.02
     illustrated
    1.01
     glossy
    1.01
     prints
    0.99
     posters
    0.99
    Activations Density 0.270%

    No Known Activations