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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. 11-RES-JB
    6. 22936
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    Explanations

    various mix of letters and symbols with sporadic activations

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or shorthand representations, possibly related to identifiers or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     today
    -0.60
    redibly
    -0.54
     ÂŃ
    -0.54
     shockingly
    -0.51
     reminder
    -0.51
     batter
    -0.49
     homicide
    -0.49
    INGTON
    -0.48
     opposite
    -0.48
     rented
    -0.48
    POSITIVE LOGITS
    ZX
    1.11
    ==
    1.11
    =/
    1.06
    =
    1.00
    Ul
    0.99
    XM
    0.98
    Ry
    0.97
    dq
    0.96
    /+
    0.95
    Iv
    0.95
    Activations Density 0.027%

    No Known Activations