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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. 4-RES-JB
    11. 20222
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.61
     FIG
    -0.59
     NCT
    -0.58
     crawled
    -0.58
    mington
    -0.56
    ibaba
    -0.56
     DR
    -0.56
     grab
    -0.55
     fetch
    -0.55
    DN
    -0.55
    POSITIVE LOGITS
    wered
    0.81
    rily
    0.80
    agus
    0.75
    swers
    0.75
    ylum
    0.75
    worldly
    0.71
    bestos
    0.71
    usterity
    0.69
    bidden
    0.68
    ishly
    0.66
    Activations Density 0.217%

    No Known Activations