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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. 11-RES-JB
    11. 21700
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    Explanations

    adjectives and adverbs that emphasize the intensity or importance of something

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and the word 'story' in various contexts, indicating a focus on narrative structure and storytelling elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    maxwell
    -0.87
    orem
    -0.80
    ãĤ¡
    -0.78
    rius
    -0.76
    itational
    -0.75
    boss
    -0.74
    =(
    -0.73
    mx
    -0.71
    ESE
    -0.71
    iatus
    -0.71
    POSITIVE LOGITS
     indistinguishable
    1.13
     reminding
    1.11
     embod
    1.10
     illuminating
    1.09
     echoing
    1.04
     devoid
    1.03
     albeit
    1.03
     reminiscent
    1.02
     akin
    0.98
     recalling
    0.98
    Activations Density 0.306%

    No Known Activations