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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. 0-RES-JB
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    terms related to tidal phenomena

    oai_token-act-pair · gpt-3.5-turbo

    terms related to tidal phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mint
    -0.80
     format
    -0.72
     Mint
    -0.71
     MG
    -0.63
     omitted
    -0.63
     printed
    -0.62
     chi
    -0.62
     Myanmar
    -0.61
    Whe
    -0.61
     aw
    -0.60
    POSITIVE LOGITS
    idal
    4.84
    ides
    1.85
    IDES
    1.37
    ide
    1.30
    iding
    1.22
    ided
    1.19
    ilon
    1.09
    anches
    1.07
    idel
    1.06
    IDE
    1.03
    Activations Density 0.012%

    No Known Activations