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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. 10-RES-JB
    11. 2215
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    Explanations

    verbs related to actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to rejection or denial of ideas or claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BuyableInstoreAndOnline
    -0.67
    DragonMagazine
    -0.66
     Pirates
    -0.59
     Reds
    -0.59
     HC
    -0.58
     Carn
    -0.57
     Ninja
    -0.57
     Leather
    -0.55
     transitional
    -0.55
     Mariners
    -0.54
    POSITIVE LOGITS
     dearly
    0.87
     aloud
    0.86
     anyways
    0.84
     anyway
    0.84
     enthusiastically
    0.82
     individually
    0.82
    .
    0.82
     elector
    0.80
     comfortably
    0.76
     willingly
    0.76
    Activations Density 0.201%

    No Known Activations