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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. 7-RES-JB
    11. 8666
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    INDEX
    Explanations

    adjectives related to sensory experiences such as taste, touch, and sight

    oai_token-act-pair · gpt-3.5-turbo

    descriptive qualities and characteristics of people or things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾į
    -0.70
    ©¶æ
    -0.70
    otin
    -0.67
    earance
    -0.67
    arf
    -0.65
    ás
    -0.65
    ortmund
    -0.64
    ylum
    -0.64
    Ô
    -0.64
    adobe
    -0.62
    POSITIVE LOGITS
     alike
    1.24
     enough
    0.88
     respectively
    0.85
     nonetheless
    0.84
    .*
    0.74
     altogether
    0.70
    enough
    0.69
    ,.
    0.69
     sounding
    0.69
    looking
    0.68
    Activations Density 0.302%

    No Known Activations