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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. 4902
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    INDEX
    Explanations

    names of individuals or characters

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    proper nouns, particularly names of individuals and places

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    tenance
    -0.77
    dust
    -0.77
    Sensor
    -0.76
    mass
    -0.75
    ãĤ¢ãĥ«
    -0.71
    Reloaded
    -0.70
    DEV
    -0.69
    CONT
    -0.68
    rifice
    -0.67
    CRE
    -0.67
    POSITIVE LOGITS
    oj
    1.19
    och
    1.07
    oxin
    1.06
    oy
    1.02
    iping
    1.01
    oling
    1.01
    ox
    0.98
    omin
    0.98
    o
    0.97
    oin
    0.96
    Activations Density 0.067%

    No Known Activations