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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. 7-RES-JB
    11. 9494
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    Explanations

    phrases related to driving maneuvers

    oai_token-act-pair · gpt-3.5-turbo

    information related to traffic rules and driving behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Patreon
    -0.89
    Arch
    -0.86
    ormon
    -0.82
     Wizards
    -0.80
    pora
    -0.79
     UNESCO
    -0.78
    Secret
    -0.77
     immortality
    -0.76
    Ancient
    -0.74
     Witch
    -0.72
    POSITIVE LOGITS
     motorists
    1.35
     braking
    1.29
     pedestrians
    1.25
     traffic
    1.24
     roadway
    1.23
     parking
    1.22
     parked
    1.21
     freeway
    1.20
     brakes
    1.18
     brake
    1.17
    Activations Density 0.616%

    No Known Activations