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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. 2551
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    Explanations

    phrases related to directions or locations (southbound, northbound, eastbound, westbound)

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to directional movement

    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
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -0.84
    henko
    -0.80
    acea
    -0.78
    ASED
    -0.78
    MAT
    -0.74
    ONEY
    -0.73
    ptive
    -0.72
     srfAttach
    -0.72
    roma
    -0.71
    ochemical
    -0.71
    POSITIVE LOGITS
     lanes
    1.21
    bound
    0.94
     Interstate
    0.93
     traffic
    0.91
     lane
    0.90
     highways
    0.89
     motorists
    0.89
     docks
    0.89
     Amtrak
    0.82
     locom
    0.82
    Activations Density 0.010%

    No Known Activations