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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
    11. 16659
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    INDEX
    Explanations

    words related to medical conditions or anatomical features, particularly abscesses with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "abs" or references to absences

    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
    BOOK
    -0.68
    FIELD
    -0.68
    GROUP
    -0.68
    sers
    -0.64
    tenance
    -0.63
     Acquisition
    -0.62
    theless
    -0.61
     RN
    -0.61
     Field
    -0.60
    geist
    -0.60
    POSITIVE LOGITS
    cess
    1.18
    ences
    1.06
    olon
    0.96
    urd
    0.95
    orb
    0.93
    sembly
    0.93
     abs
    0.92
    olution
    0.91
    olve
    0.90
    olved
    0.90
    Activations Density 0.005%

    No Known Activations