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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
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    Explanations

    references to the name "Cole."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Cole" in various contexts

    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
    channelAvailability
    -0.66
     Bulgarian
    -0.61
    href
    -0.60
    CRIP
    -0.60
     guiActiveUn
    -0.60
     outgoing
    -0.58
     Munich
    -0.58
     NYT
    -0.58
    CLASSIFIED
    -0.57
     Thieves
    -0.57
    POSITIVE LOGITS
    tto
    1.01
    mons
    0.88
     Cole
    0.86
    lett
    0.84
    boro
    0.83
    opter
    0.82
    lette
    0.82
    zen
    0.81
    brook
    0.80
    brate
    0.79
    Activations Density 0.007%

    No Known Activations