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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. 2-RES-JB
    11. 23579
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    Explanations

    the acronym "RO" followed by a number, likely representing a specific entity or concept

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific organization or entity labeled "RO"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    riad
    -0.85
    ãĥ¼ãĥĨãĤ£
    -0.83
    ãĥģ
    -0.75
     Crit
    -0.73
     Icelandic
    -0.72
    ãĤº
    -0.69
     Bundes
    -0.69
     Kaufman
    -0.68
    manship
    -0.67
    ãĥī
    -0.65
    POSITIVE LOGITS
    RO
    1.07
    FILE
    1.05
    bably
    1.04
    scill
    1.01
    VERS
    0.98
    LL
    0.97
    OTUS
    0.96
    OTS
    0.96
    ovember
    0.93
    ptions
    0.91
    Activations Density 0.009%

    No Known Activations