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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. 10-RES-JB
    11. 21438
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    Explanations

    phrases related to secretive or hidden activities

    oai_token-act-pair · gpt-3.5-turbo

    references to secrecy or behind-the-scenes activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.80
    andum
    -0.78
    ager
    -0.68
    cdn
    -0.68
    ku
    -0.66
     Metatron
    -0.66
     Mania
    -0.66
    intent
    -0.65
    ————
    -0.65
    ozy
    -0.64
    POSITIVE LOGITS
     doors
    1.07
     minded
    1.01
     eyel
    0.95
     door
    0.92
     Caption
    0.91
     caption
    0.91
     circuit
    0.88
     loop
    0.88
     Doors
    0.84
    doors
    0.79
    Activations Density 0.038%

    No Known Activations