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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. 16985
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    INDEX
    Explanations

    medical-related abbreviations like "dr" followed by a rating number

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the abbreviation "dr," likely indicating a focus on medical or doctor-related content

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ERN
    -0.89
    eers
    -0.78
    SHIP
    -0.71
     Blueprint
    -0.71
     EntityItem
    -0.68
    Laughs
    -0.67
     Pose
    -0.66
     Corpus
    -0.65
    eering
    -0.64
     Decay
    -0.64
    POSITIVE LOGITS
    unk
    1.10
    inking
    1.09
    inker
    1.05
    iller
    1.01
    agger
    1.00
    agons
    1.00
    inks
    0.99
    ifts
    0.99
    unks
    0.98
    agnar
    0.96
    Activations Density 0.017%

    No Known Activations