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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22148
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    Explanations

    phrases related to comparison or opposition (e.g., "good vs evil", "high vs low sensitivity")

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and prepositions indicating relationships or comparisons

    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
    wagen
    -0.69
    nen
    -0.69
    Players
    -0.68
    illac
    -0.64
     Cosponsors
    -0.63
     sugg
    -0.62
     condem
    -0.62
     misunder
    -0.62
    elle
    -0.61
    Uncommon
    -0.61
    POSITIVE LOGITS
     infinity
    0.73
     lowly
    0.72
     emptiness
    0.64
     messenger
    0.63
     minus
    0.63
     voic
    0.63
     decay
    0.63
     suffix
    0.61
     math
    0.60
     multiply
    0.60
    Activations Density 0.333%

    No Known Activations