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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
    11. 3544
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    Explanations

    phrases related to military squadrons

    oai_token-act-pair · gpt-3.5-turbo

    references to military squadrons and characters associated with them

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    amaz
    -0.81
    itarian
    -0.77
    inventoryQuantity
    -0.77
    Balt
    -0.74
    usable
    -0.71
    ifax
    -0.70
    pite
    -0.70
    acity
    -0.68
    isphere
    -0.67
    ometers
    -0.66
    POSITIVE LOGITS
     Scully
    0.83
    eday
    0.75
    ////////////////////////////////
    0.70
    dream
    0.68
    ¥
    0.67
    pard
    0.66
    allery
    0.65
    âĸ¬
    0.64
     graz
    0.63
    %%%%
    0.63
    Activations Density 0.027%

    No Known Activations