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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. 3677
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    INDEX
    Explanations

    hyphenated phrases asserting something is the best or a key resource

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

    negative phrases or sentiments

    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
     Archdemon
    -0.74
     Wad
    -0.67
     Applicant
    -0.67
     Plaintiff
    -0.65
     apt
    -0.63
     Divinity
    -0.63
     Pug
    -0.63
     headlines
    -0.63
     Sect
    -0.63
     Yemeni
    -0.62
    POSITIVE LOGITS
    ahead
    1.48
    to
    1.30
    slow
    1.30
    between
    1.28
    round
    1.26
    cart
    1.26
    forward
    1.25
    live
    1.23
    around
    1.21
    getting
    1.20
    Activations Density 0.030%

    No Known Activations