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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. 3-RES-JB
    11. 6000
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    Explanations

    newly emerging or developing events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "emerge" and its variations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    oha
    -0.80
    gee
    -0.79
    cise
    -0.77
    ajo
    -0.71
    pport
    -0.69
    avement
    -0.69
    cas
    -0.67
    ogun
    -0.67
    vP
    -0.63
    ©¶æ
    -0.61
    POSITIVE LOGITS
     victorious
    1.11
    DragonMagazine
    0.88
     EDITION
    0.86
    CHAT
    0.82
    framework
    0.82
     unlaw
    0.73
    URES
    0.70
     undone
    0.70
     triumphant
    0.69
     anew
    0.67
    Activations Density 0.013%

    No Known Activations