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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. 11-RES-JB
    11. 5162
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    Explanations

    dates and years mentioned in the text

    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
    Poor
    -0.68
     Worse
    -0.67
    abus
    -0.65
     Journals
    -0.62
     oneself
    -0.62
    NULL
    -0.61
     jeopardy
    -0.61
    yip
    -0.61
    chance
    -0.60
    insula
    -0.59
    POSITIVE LOGITS
     subsequently
    1.21
     renamed
    1.10
     quickly
    1.05
     promptly
    1.05
     expanded
    1.04
    sequently
    1.02
    now
    1.02
     gradually
    1.01
     morphed
    1.00
     followed
    1.00
    Activations Density 0.479%

    No Known Activations