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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. 9-RES-JB
    11. 17244
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    Explanations

    statements and discussions about diverse subjects such as opinions, physical medical conditions, community issues, and resource provision

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating relationships or connections between ideas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itor
    -0.71
     Compared
    -0.71
    rb
    -0.69
    Redditor
    -0.67
    lear
    -0.67
     Begins
    -0.66
    May
    -0.65
    :[
    -0.65
    RM
    -0.65
    uthor
    -0.64
    POSITIVE LOGITS
    etc
    1.10
     assorted
    1.02
    whatever
    0.95
     etc
    0.90
     even
    0.88
     other
    0.87
     downright
    0.84
     others
    0.81
     ultimately
    0.78
     whatever
    0.73
    Activations Density 0.202%

    No Known Activations