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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. 3-RES-JB
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    Explanations

    mentions of hormone-related words and terms

    oai_token-act-pair · gpt-3.5-turbo

    references to hormones and hormone therapy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -1.06
    È
    -0.75
    llah
    -0.75
    Pie
    -0.71
    Ń·
    -0.70
    Sah
    -0.69
    acular
    -0.69
     Grave
    -0.69
     Favor
    -0.69
    ership
    -0.67
    POSITIVE LOGITS
     hormones
    1.25
     glands
    1.13
     estrogen
    1.12
     hormone
    1.11
     testosterone
    1.10
    osterone
    1.03
     secretion
    1.00
    ormonal
    0.97
     hormonal
    0.94
     gland
    0.93
    Activations Density 0.010%

    No Known Activations