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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. 9-RES-JB
    6. 16796
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    Explanations

    phrases or sentences describing accomplishments or achievements

    oai_token-act-pair · gpt-3.5-turbo

    sentence-ending punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     psychiat
    -0.73
     landfall
    -0.68
     stray
    -0.67
     microbiome
    -0.66
     extinct
    -0.66
     preval
    -0.66
     slightest
    -0.66
     disarm
    -0.65
    urus
    -0.65
    flation
    -0.65
    POSITIVE LOGITS
     Together
    1.44
     Both
    1.28
     Neither
    1.08
     Their
    1.04
     He
    1.03
     According
    1.02
    Together
    1.01
     Though
    0.97
    Both
    0.97
     Later
    0.96
    Activations Density 0.599%

    No Known Activations