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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. 3-RES-JB
    11. 13506
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    Explanations

    mentions of a specific name, "Gr"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Gr" followed by a number, indicating a focus on something associated with that designation or label

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eers
    -0.89
    )=(
    -0.76
    ĸļ
    -0.73
    manship
    -0.66
    vention
    -0.63
    finder
    -0.63
    ership
    -0.62
     shortened
    -0.62
     fulfilled
    -0.61
     quo
    -0.61
    POSITIVE LOGITS
    ains
    1.13
    iffin
    1.09
    asp
    1.07
    itt
    1.07
    anny
    1.05
    idd
    1.03
    udge
    1.03
    ained
    1.01
    acies
    1.00
    umpy
    0.99
    Activations Density 0.010%

    No Known Activations