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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. 7-RES-JB
    6. 8445
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    INDEX
    Explanations

    comparisons or differences

    oai_token-act-pair · gpt-3.5-turbo

    the special end-of-text token

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prod
    -0.60
     banner
    -0.57
    SPONSORED
    -0.54
     emblem
    -0.54
     Plaza
    -0.54
     Abbey
    -0.53
     Santana
    -0.53
     Fowler
    -0.53
     searches
    -0.52
     Corrections
    -0.52
    POSITIVE LOGITS
    etheless
    1.06
    lihood
    1.00
    tenance
    1.00
    usterity
    0.94
    terday
    0.91
    vised
    0.88
    mosp
    0.84
    ãĤ´ãĥ³
    0.84
    vern
    0.83
    -$
    0.83
    Activations Density 0.107%

    No Known Activations