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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. 13611
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    Explanations

    words related to ethical and moral issues, particularly within societal and political contexts

    oai_token-act-pair · gpt-3.5-turbo

    issues related to ethics and morality

    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
     Dise
    -0.59
    ©¶æ
    -0.59
     Tai
    -0.57
    photos
    -0.56
    Break
    -0.55
    ngth
    -0.54
     slept
    -0.53
    ecast
    -0.53
    aja
    -0.53
     Hust
    -0.52
    POSITIVE LOGITS
    ().
    0.66
    .<
    0.62
    amount
    0.60
    +.
    0.60
    `.
    0.59
    NULL
    0.59
    Redditor
    0.58
    rather
    0.57
    hidden
    0.56
    much
    0.55
    Activations Density 1.853%

    No Known Activations