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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. 24409
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    Explanations

    modal verbs indicating obligation, possibility, or necessity

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs related to obligation and possibility

    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
     maze
    -0.60
     Cors
    -0.54
     Panic
    -0.54
     Samurai
    -0.52
    oulos
    -0.52
     haze
    -0.51
     Mn
    -0.51
    alyses
    -0.51
    Reviewer
    -0.51
     mole
    -0.49
    POSITIVE LOGITS
     thereof
    0.81
    borough
    0.69
    kish
    0.63
    uable
    0.60
    aspers
    0.59
    andom
    0.59
    iqueness
    0.58
    ãĥ¼ãĥĨãĤ£
    0.58
    Ù
    0.58
    burg
    0.57
    Activations Density 0.269%

    No Known Activations