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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. 9-RES-JB
    11. 5355
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    Explanations

    phrases related to political issues and legislation

    oai_token-act-pair · gpt-3.5-turbo

    sequences of characters that suggest acronyms or initialisms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.74
    ghai
    -0.73
    SHIP
    -0.72
    clinton
    -0.71
    yip
    -0.68
    ÄŁ
    -0.68
    esome
    -0.67
    chet
    -0.67
    Magikarp
    -0.66
    hua
    -0.66
    POSITIVE LOGITS
    resso
    0.92
    asion
    0.89
    itute
    0.86
    inct
    0.85
    idential
    0.84
    aints
    0.84
    unct
    0.83
    ributed
    0.82
    iltration
    0.82
    ossession
    0.82
    Activations Density 0.113%

    No Known Activations