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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. 0-RES-JB
    11. 6882
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    Explanations

    keywords related to propellants or supporting structures

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'prop' and its variations, indicating a focus on props used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urga
    -0.75
     Dalai
    -0.72
    asking
    -0.71
    leanor
    -0.70
    ularity
    -0.70
     Leadership
    -0.69
    ishops
    -0.69
    read
    -0.69
     Xiang
    -0.68
     Aging
    -0.67
    POSITIVE LOGITS
     prop
    3.82
     props
    2.80
     Prop
    1.28
     prope
    1.19
     prost
    1.09
     PG
    0.95
     rig
    0.93
     prem
    0.93
     propell
    0.90
     anim
    0.88
    Activations Density 0.018%

    No Known Activations