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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. 7-RES-JB
    11. 22671
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    Explanations

    verbs related to completing a task or achieving a goal

    oai_token-act-pair · gpt-3.5-turbo

    actions related to achieving goals or completing tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pmwiki
    -0.72
    æ©Ł
    -0.69
     Cosponsors
    -0.69
    PHOTOS
    -0.67
    ãĥĨ
    -0.66
    ARC
    -0.64
    ãĤ´ãĥ³
    -0.64
     largeDownload
    -0.58
    \":
    -0.58
     Seym
    -0.58
    POSITIVE LOGITS
     oneself
    0.88
     worthwhile
    0.88
     adequately
    0.83
     meaningful
    0.80
     properly
    0.78
     anymore
    0.77
    uate
    0.77
     viable
    0.76
     reliably
    0.74
     coherent
    0.74
    Activations Density 0.293%

    No Known Activations