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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. 7-RES-JB
    11. 234
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    Explanations

    terms related to burglaries and thefts

    oai_token-act-pair · gpt-3.5-turbo

    words associated with burglary and related criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.77
     Nadu
    -0.75
    nesota
    -0.72
    */(
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
     totality
    -0.65
     partName
    -0.64
    essee
    -0.64
    SHIP
    -0.64
    bilt
    -0.64
    POSITIVE LOGITS
    undy
    1.03
    lar
    0.97
    dor
    0.86
    ender
    0.79
    ows
    0.75
    artz
    0.75
    owitz
    0.73
    ovy
    0.73
     burgl
    0.73
    trop
    0.72
    Activations Density 0.062%

    No Known Activations