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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. 8749
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    Explanations

    references to time durations in months

    oai_token-act-pair · gpt-3.5-turbo

    references to durations measured in months

    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
     UID
    -0.68
    oos
    -0.66
    anooga
    -0.65
     plun
    -0.64
    jri
    -0.63
    unders
    -0.63
    asio
    -0.60
    URI
    -0.60
     Aires
    -0.60
    Ability
    -0.60
    POSITIVE LOGITS
    theless
    1.13
    iversary
    1.00
    etheless
    0.98
    tom
    0.93
    ruary
    0.92
     ago
    0.89
    ploy
    0.83
    days
    0.83
    flower
    0.82
    month
    0.81
    Activations Density 0.007%

    No Known Activations