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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. 2-RES-JB
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    Explanations

    mentions or concepts related to a sports team named "Kings" and possibly their players, games, and organization

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the "Kings" organization, possibly referring to a sports team or franchise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awaru
    -0.88
    ierrez
    -0.81
    eredith
    -0.79
     dissemination
    -0.71
    schild
    -0.70
    ller
    -0.67
    asio
    -0.66
    akeru
    -0.64
    uku
    -0.64
    ickr
    -0.64
    POSITIVE LOGITS
    Kings
    1.29
     Kings
    1.19
    guard
    0.97
    hip
    0.85
    guards
    0.85
    apeake
    0.84
    layer
    0.82
    lad
    0.82
     Guards
    0.80
    uin
    0.80
    Activations Density 0.007%

    No Known Activations