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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 21958
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    Explanations

    terms related to software development and programming languages, particularly Haskell and related libraries and tools

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to mathematical functions and their applications

    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
    vette
    -0.79
     Lakers
    -0.77
    amsung
    -0.77
     Swansea
    -0.74
    Chelsea
    -0.73
     battery
    -0.73
    7601
    -0.72
    Battery
    -0.71
     LAPD
    -0.71
    ATTLE
    -0.71
    POSITIVE LOGITS
     GHC
    1.52
     Haskell
    1.43
     Prelude
    1.34
     Applic
    1.13
    gebra
    1.11
    ctor
    1.10
     ::
    1.09
     algebra
    1.00
     predicate
    0.99
     fold
    0.97
    Activations Density 0.178%

    No Known Activations