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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. 19947
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    INDEX
    Explanations

    words related to the prefix "Hel" followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Helvetia" style or related font names

    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
    HAEL
    -0.73
    EED
    -0.70
    æĦ
    -0.67
     Memories
    -0.66
    rers
    -0.66
     Cunning
    -0.64
    parts
    -0.63
    EAR
    -0.63
     Eag
    -0.62
    VALUE
    -0.61
    POSITIVE LOGITS
    idon
    0.97
    mut
    0.96
    ping
    0.96
    pless
    0.93
    ped
    0.92
    mand
    0.89
    ters
    0.88
    strings
    0.87
    ios
    0.85
    tered
    0.85
    Activations Density 0.020%

    No Known Activations