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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. 9436
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    Explanations

    proper nouns appearing in the context of a location called "Wauekegan"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "au" indicating a focus on audio or sound-related topics

    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
    ACTED
    -0.69
    STATE
    -0.64
     GOODMAN
    -0.63
    EVA
    -0.63
    frames
    -0.61
    DonaldTrump
    -0.60
     Cavaliers
    -0.59
    ALLY
    -0.59
    ounded
    -0.59
    shows
    -0.59
    POSITIVE LOGITS
    llah
    1.15
    gment
    1.06
    lette
    0.99
    qua
    0.93
    ction
    0.92
    fman
    0.90
    cham
    0.86
    clair
    0.85
    lly
    0.85
    vre
    0.83
    Activations Density 0.016%

    No Known Activations