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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 15082
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    INDEX
    Explanations

    hyphenated phrases and words

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

    negative or critical sentiments in the text

    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
     caution
    -0.74
     consolation
    -0.68
     Hardy
    -0.66
     Confederation
    -0.64
     judgment
    -0.64
     civ
    -0.63
     swirl
    -0.62
     Territory
    -0.61
     confidence
    -0.61
     instant
    -0.61
    POSITIVE LOGITS
    up
    1.40
    ups
    1.26
    upper
    1.25
    top
    1.16
    item
    1.15
    setting
    1.15
    feeding
    1.09
    smoking
    1.09
    piece
    1.08
    shift
    1.07
    Activations Density 0.052%

    No Known Activations