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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. 10-RES-JB
    11. 4880
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    Explanations

    words related to criticizing or evaluating something

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.76
    doors
    -0.67
     Horizon
    -0.66
     Redux
    -0.65
    channelAvailability
    -0.65
     Sus
    -0.61
     Pend
    -0.59
     Fram
    -0.58
     wip
    -0.57
     actionGroup
    -0.57
    POSITIVE LOGITS
    uffed
    1.08
    antom
    1.08
    anned
    1.04
    outing
    0.99
    iously
    0.98
    ouring
    0.98
    uked
    0.96
    ounced
    0.95
    ained
    0.95
    atted
    0.95
    Activations Density 0.021%

    No Known Activations