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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. 5-RES-JB
    6. 3599
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    Explanations

    proper names, likely focusing on individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or significant names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.95
     [&
    -0.82
     Nanto
    -0.81
    Interstitial
    -0.76
    ĸļ
    -0.75
     misunder
    -0.74
     Cthulhu
    -0.74
     Guant
    -0.70
     foreseeable
    -0.69
    ;;;;;;;;;;;;
    -0.68
    POSITIVE LOGITS
    ricks
    0.95
    ant
    0.95
    int
    0.86
    oops
    0.83
    ants
    0.82
    ante
    0.81
    atar
    0.79
    ances
    0.78
    bs
    0.78
    ices
    0.78
    Activations Density 0.385%

    No Known Activations