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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. 1-RES-JB
    11. 817
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    Explanations

    references to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     âĢº
    -0.73
    âĢł
    -0.65
    ¶
    -0.64
    .--
    -0.63
    ATURES
    -0.63
     besides
    -0.62
    ="#
    -0.62
     according
    -0.61
    !
    -0.61
    =""
    -0.61
    POSITIVE LOGITS
     latter
    1.12
     entirety
    1.11
     same
    1.09
     smallest
    1.08
     slightest
    1.07
     remainder
    1.05
     widest
    0.99
     entire
    0.99
     aforementioned
    0.98
     highest
    0.97
    Activations Density 1.976%

    No Known Activations