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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. 11980
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    Explanations

    terms related to retractions or corrections

    oai_token-act-pair · gpt-3.5-turbo

    references to retraction or correction in a context

    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
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    No Comments

    Negative Logits
    INESS
    -0.79
    tips
    -0.78
    SHIP
    -0.76
    hammad
    -0.72
    ¬¼
    -0.72
    STD
    -0.71
    hu
    -0.71
    ppo
    -0.67
    aughtered
    -0.67
    女
    -0.66
    POSITIVE LOGITS
    rop
    0.87
    reating
    0.83
    ailed
    0.82
    ention
    0.82
    ribut
    0.82
    upt
    0.82
    arations
    0.82
    rieve
    0.80
    ails
    0.80
    rend
    0.79
    Activations Density 0.004%

    No Known Activations