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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. 21500
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    Explanations

    adjectives related to the degree or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    intensifiers and descriptors that indicate severity or magnitude

    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
    ioxide
    -0.64
    tein
    -0.59
    İĭ
    -0.58
    ©¶æ
    -0.56
     Pledge
    -0.55
     deputy
    -0.55
    ositories
    -0.54
     bailed
    -0.54
     Transition
    -0.53
     logo
    -0.53
    POSITIVE LOGITS
     enough
    1.28
    enough
    1.11
     indeed
    0.91
     compared
    0.89
    :
    0.85
     Enough
    0.84
    ;
    0.84
    :[
    0.83
     nonetheless
    0.80
     considering
    0.79
    Activations Density 0.201%

    No Known Activations