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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. 4-RES-JB
    11. 19514
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    Explanations

    expressions denoting surprise or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    expressions of surprise or strong emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 4 - surprise

    No Comments

    Negative Logits
    ourse
    -0.73
     augment
    -0.64
     Cosponsors
    -0.64
     Redux
    -0.63
     vari
    -0.63
    pocket
    -0.62
     exert
    -0.59
    actionDate
    -0.58
     predomin
    -0.57
    rive
    -0.57
    POSITIVE LOGITS
     kidding
    1.07
    hhh
    0.99
    mmmm
    0.97
    hhhh
    0.91
    mmm
    0.90
    oooooooooooooooo
    0.90
     yeah
    0.90
    ooo
    0.90
    oooo
    0.87
    yeah
    0.87
    Activations Density 0.267%

    No Known Activations