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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. 2534
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    Explanations

    words related to insensitivity or inscrutability

    oai_token-act-pair · gpt-3.5-turbo
    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
    ries
    -0.78
    llan
    -0.71
     Archdemon
    -0.65
     cha
    -0.61
     Scotia
    -0.60
     Baird
    -0.60
     Loving
    -0.60
    ãĥ£
    -0.59
    ILLE
    -0.59
     XD
    -0.59
    POSITIVE LOGITS
    istent
    1.22
    urances
    1.22
    pite
    1.20
    criptions
    1.13
    ides
    1.13
    ensible
    1.09
    ensibly
    1.05
    ufficient
    1.02
    ensitivity
    1.00
    incerity
    0.99
    Activations Density 0.017%

    No Known Activations