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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3708
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    Explanations

    mentions related to illegal activities, investigations, or scandals

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "extort" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kaw
    -0.66
     mar
    -0.63
     dash
    -0.63
     pul
    -0.62
     Rising
    -0.61
     dec
    -0.60
     ledge
    -0.60
     sab
    -0.60
     Smy
    -0.60
     chip
    -0.59
    POSITIVE LOGITS
    orted
    4.10
    orting
    3.84
    orts
    2.73
    ort
    2.40
    orter
    1.86
    ORT
    1.79
    ortment
    1.63
    ortion
    1.59
    orters
    1.46
    ORTS
    1.25
    Activations Density 0.019%

    No Known Activations