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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. 12-RES-JB
    11. 3851
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    INDEX
    Explanations

    the word "why" at a high activation level

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    inquiries about reasons or motivations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.75
    opian
    -0.72
    aughed
    -0.72
    iece
    -0.70
    utenberg
    -0.67
    đ
    -0.65
    rawdownload
    -0.65
    ÷
    -0.65
    ė
    -0.64
     RandomRedditor
    -0.64
    POSITIVE LOGITS
     they
    0.89
    soever
    0.85
     we
    0.82
     nobody
    0.81
     so
    0.72
     people
    0.68
     THEY
    0.67
     certain
    0.66
     he
    0.66
     someone
    0.65
    Activations Density 0.097%

    No Known Activations