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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. 6-RES-JB
    6. 22084
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    Explanations

    links or references related to online activities or resources

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alam
    -0.68
     tails
    -0.66
    anian
    -0.65
     Spectre
    -0.65
    lyak
    -0.64
     superst
    -0.61
    pillar
    -0.61
     Vers
    -0.60
    ãĥ£
    -0.60
    è¦ļéĨĴ
    -0.59
    POSITIVE LOGITS
    owship
    0.79
    purpose
    0.64
    ivably
    0.64
    abulary
    0.63
    onsense
    0.60
    osponsors
    0.60
    lege
    0.59
    atory
    0.58
    usters
    0.58
    msg
    0.57
    Activations Density 0.404%

    No Known Activations