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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. 19655
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    Explanations

    words related to retractions

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word 'ret' relating to corrections or modifications

    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
    hu
    -0.84
    INESS
    -0.84
    SHIP
    -0.81
    tips
    -0.78
    hua
    -0.76
    女
    -0.70
    geist
    -0.70
     Soda
    -0.69
    ppo
    -0.68
    STEM
    -0.68
    POSITIVE LOGITS
     ret
    0.89
    ailed
    0.81
    roph
    0.80
    ails
    0.79
    upt
    0.78
    rop
    0.78
    rend
    0.78
    reating
    0.77
    ret
    0.76
    ailing
    0.76
    Activations Density 0.004%

    No Known Activations