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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. 18478
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    INDEX
    Explanations

    mentions of directional references associated with traffic or travel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to directions or locations

    oai_token-act-pair · gpt-3.5-turbo
    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
    soDeliveryDate
    -0.90
    MAT
    -0.87
    ptive
    -0.78
    otrop
    -0.75
    HAEL
    -0.75
    ochemical
    -0.74
    arty
    -0.72
     srfAttach
    -0.66
    OTHER
    -0.64
    ORY
    -0.63
    POSITIVE LOGITS
     lanes
    1.05
    bound
    0.90
    naire
    0.86
    duty
    0.80
    pread
    0.77
    loads
    0.76
    PsyNetMessage
    0.74
     lane
    0.73
    uction
    0.72
    fold
    0.72
    Activations Density 0.007%

    No Known Activations