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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17945
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    Explanations

    names of individuals involved in various activities or events

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals involved in various incidents or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Trends
    -0.59
    isSpecialOrderable
    -0.59
     renaissance
    -0.58
     Favor
    -0.57
     Rankings
    -0.56
     drought
    -0.55
    Born
    -0.54
    igmatic
    -0.54
     Recent
    -0.54
    Coming
    -0.53
    POSITIVE LOGITS
     then
    1.61
     replied
    1.35
    then
    1.31
     complied
    1.31
     subsequently
    1.30
     THEN
    1.28
     countered
    1.26
     proceeded
    1.25
     responded
    1.22
     eventually
    1.18
    Activations Density 0.405%

    No Known Activations