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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. 6-RES-JB
    11. 17398
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    Explanations

    words related to intense or impactful actions or statements

    oai_token-act-pair · gpt-3.5-turbo

    words related to various forms of action or transformation

    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
    zig
    -0.81
    ãĥ¯ãĥ³
    -0.76
    DragonMagazine
    -0.75
    ÃĥÃĤ
    -0.74
     lapt
    -0.72
    Eva
    -0.68
    Redd
    -0.66
     skelet
    -0.65
    bern
    -0.65
    ãĤ´ãĥ³
    -0.65
    POSITIVE LOGITS
    ously
    0.86
    ionage
    0.81
    naires
    0.74
     Procedures
    0.70
    alities
    0.70
    ially
    0.69
    naire
    0.67
    OUS
    0.65
    ous
    0.63
     perjury
    0.62
    Activations Density 0.247%

    No Known Activations