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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. 9-RES-JB
    11. 22659
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    Explanations

    phrases related to entering or inputting information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to entering or participating in various contexts or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onne
    -0.73
    kick
    -0.72
    each
    -0.62
    VICE
    -0.61
    mates
    -0.60
    cker
    -0.60
    amaz
    -0.58
    xs
    -0.58
    anan
    -0.58
    achu
    -0.58
    POSITIVE LOGITS
     fray
    1.54
     realm
    1.05
     trance
    0.94
    prises
    0.87
     territory
    0.85
     labyrinth
    0.84
     airspace
    0.80
    tainment
    0.77
     equation
    0.77
     bloodstream
    0.77
    Activations Density 0.107%

    No Known Activations