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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. 12-RES-JB
    11. 3489
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    Explanations

    phrases related to feeding, nutrition, and providing for others

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to the concept of feeding or providing sustenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pp
    -0.68
    istically
    -0.67
    pport
    -0.66
    iami
    -0.66
     exorc
    -0.65
    isable
    -0.64
    isers
    -0.61
    ident
    -0.61
     tallest
    -0.60
    asking
    -0.58
    POSITIVE LOGITS
     frenzy
    1.02
    oras
    1.00
    parser
    0.96
     trough
    0.93
    stocks
    0.92
    forward
    0.92
    milo
    0.85
     feeds
    0.82
    stock
    0.81
     Frenzy
    0.81
    Activations Density 0.083%

    No Known Activations