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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. 6-RES-JB
    11. 9866
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    Explanations

    phrases related to quantity or numerical relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating levels or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .–
    -0.74
    >>>>>>>>
    -0.71
    ¯¯
    -0.68
     Flavoring
    -0.65
     snipp
    -0.64
    âĢ¢âĢ¢
    -0.64
    Feed
    -0.64
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
    HK
    -0.62
    ETF
    -0.61
    POSITIVE LOGITS
    ²¾
    0.79
    interstitial
    0.72
    tones
    0.68
    Ĥ¬
    0.66
     totality
    0.66
    onyms
    0.66
     legality
    0.65
     mortals
    0.65
    dden
    0.63
     tongues
    0.61
    Activations Density 0.172%

    No Known Activations