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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. 8-RES-JB
    11. 10226
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    INDEX
    Explanations

    words associated with accomplishments or positive attributes

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to obligation or consequence in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    elight
    -0.67
     CFL
    -0.65
     CLI
    -0.65
    ESE
    -0.64
     pas
    -0.63
     Guatem
    -0.61
     GH
    -0.61
    soever
    -0.61
     Garner
    -0.59
     Hands
    -0.59
    POSITIVE LOGITS
     that
    1.01
    that
    0.95
     THAT
    0.86
     That
    0.82
     srfAttach
    0.76
     thats
    0.75
    That
    0.75
    maxwell
    0.73
    æĺ¯
    0.68
    aler
    0.62
    Activations Density 0.150%

    No Known Activations