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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 5626
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    Explanations

    mentions of caves

    oai_token-act-pair · gpt-3.5-turbo

    references to caves

    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
    •Caves

    No Comments

    Negative Logits
    abeth
    -0.78
    pring
    -0.78
    icious
    -0.78
    ICS
    -0.71
    imated
    -0.70
     ACTIONS
    -0.70
    orporated
    -0.69
     ILCS
    -0.68
    IFA
    -0.66
    LM
    -0.66
    POSITIVE LOGITS
     cave
    1.07
     Dwell
    0.93
     caves
    0.92
     paintings
    0.79
     canyon
    0.77
     hiber
    0.76
     collapses
    0.74
     dwellings
    0.73
     dwelling
    0.71
     walls
    0.70
    Activations Density 0.011%

    No Known Activations