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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. 6-RES-JB
    11. 7472
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    Explanations

    numbers or statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "of" and its frequency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.82
    hunt
    -0.73
    amount
    -0.70
    uyomi
    -0.67
     grooming
    -0.65
    monitor
    -0.65
    heses
    -0.65
    icultural
    -0.65
    gat
    -0.64
     endif
    -0.64
    POSITIVE LOGITS
    icial
    0.76
     course
    0.72
    course
    0.70
    ounds
    0.66
    IFE
    0.61
    eworks
    0.59
    OUN
    0.59
    nir
    0.57
    INK
    0.57
    INGS
    0.57
    Activations Density 0.081%

    No Known Activations