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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 14434
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    Explanations

    instances where the text conveys surprise or the potential for surprise

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "surprised"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 3 - surprise

    No Comments

    Negative Logits
    ©¶æ
    -0.81
    ciplinary
    -0.78
    amins
    -0.74
    ngth
    -0.72
    tein
    -0.71
    uria
    -0.71
    atra
    -0.71
    ignty
    -0.70
    vertisement
    -0.70
    hid
    -0.70
    POSITIVE LOGITS
     Squid
    0.82
     onlook
    0.74
    terson
    0.72
     Surprise
    0.72
    NESS
    0.71
    imaru
    0.69
     silence
    0.69
     surprised
    0.67
     enough
    0.66
     Jol
    0.65
    Activations Density 0.014%

    No Known Activations