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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. 3-RES-JB
    11. 7177
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    Explanations

    the adjective "perceived" followed by a word describing a judgment or attribute

    oai_token-act-pair · gpt-3.5-turbo

    references to perceptions and how they influence people's views or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kers
    -0.74
    raid
    -0.72
    hands
    -0.71
    cloth
    -0.68
    ingers
    -0.68
    keeping
    -0.67
    etsk
    -0.65
    hire
    -0.65
    annis
    -0.65
    trap
    -0.64
    POSITIVE LOGITS
    ibly
    0.88
     perceptions
    0.83
    ãĤ¼
    0.79
    ible
    0.78
    ually
    0.78
     unintention
    0.74
    ãĤ¨
    0.73
    éŃĶ
    0.71
    ãĥ³ãĤ¸
    0.70
    Ô
    0.70
    Activations Density 0.018%

    No Known Activations