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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. 9-RES-JB
    11. 15782
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    Explanations

    phrases related to mountain lions and cougars

    oai_token-act-pair · gpt-3.5-turbo

    references to cougars or related terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aceutical
    -0.78
     Lub
    -0.71
     Explorer
    -0.67
     Pilgrim
    -0.65
     Shed
    -0.65
     guiActiveUnfocused
    -0.63
    itsch
    -0.62
     Fabric
    -0.61
    iary
    -0.60
     Organisation
    -0.60
    POSITIVE LOGITS
    riers
    1.34
    gars
    1.14
    pe
    1.12
    ple
    1.08
    rier
    1.03
    plet
    1.02
    plings
    1.01
    pper
    1.00
    pled
    1.00
    gar
    0.98
    Activations Density 0.048%

    No Known Activations