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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. 1-RES-JB
    11. 22269
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    Explanations

    phrases related to communication or instruction, especially involving commands or guidance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to instructions or directives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jay
    -0.72
     Hayden
    -0.65
     Laurent
    -0.65
    ells
    -0.64
     Urug
    -0.62
     Higgins
    -0.62
     Bravo
    -0.62
    ambers
    -0.62
     Palmer
    -0.61
    amps
    -0.61
    POSITIVE LOGITS
    DragonMagazine
    0.72
    aily
    0.68
     toget
    0.67
    .<
    0.65
    .–
    0.64
    ãĥ©
    0.64
    ãĥĥãĤ¯
    0.63
     conclud
    0.62
     awa
    0.62
    ãĤ´
    0.60
    Activations Density 0.670%

    No Known Activations