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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. 4-RES-JB
    11. 1491
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    Explanations

    phrases related to business and professional settings

    oai_token-act-pair · gpt-3.5-turbo

    textual elements related to quotes or statements

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

    No Comments

    Negative Logits
     Loch
    -0.40
     [/
    -0.36
    =-=-
    -0.36
     Bundy
    -0.35
     Pog
    -0.35
     scapego
    -0.35
    ..................
    -0.34
     ..........
    -0.34
     Darkness
    -0.34
     tru
    -0.34
    POSITIVE LOGITS
    lycer
    0.54
    asio
    0.48
    soDeliveryDate
    0.45
    arij
    0.44
    gins
    0.44
     respectively
    0.42
    jer
    0.39
    itled
    0.39
    anwhile
    0.39
    orem
    0.39
    Activations Density 3.876%

    No Known Activations