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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. 6-RES-JB
    11. 18874
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    Explanations

    measurements and sizes indicated by inches and quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    instances of measurements and dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atically
    -0.78
    frey
    -0.73
    ophen
    -0.73
    odor
    -0.70
    analy
    -0.70
    san
    -0.70
     Akin
    -0.69
    ás
    -0.69
    abeth
    -0.67
    SPONSORED
    -0.67
    POSITIVE LOGITS
     diameter
    0.97
     increments
    0.86
     PVC
    0.83
     tall
    0.82
     thickness
    0.76
     thick
    0.76
     width
    0.76
     floppy
    0.75
    itudinal
    0.74
     angled
    0.73
    Activations Density 0.042%

    No Known Activations