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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. 0-RES-JB
    11. 8050
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    Explanations

    specific words related to a particular title or term, possibly "Trofe" or "Trophies"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the name "Tro."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įåĸļ士
    -0.77
    200000
    -0.75
    anges
    -0.73
    soDeliveryDate
    -0.70
    ighting
    -0.68
    SIZE
    -0.66
     illumination
    -0.66
     smoker
    -0.66
    000000
    -0.66
     LTD
    -0.65
    POSITIVE LOGITS
     Tro
    4.23
    Tro
    2.79
    tro
    2.38
     tro
    2.13
     Trojan
    1.65
     Trooper
    1.59
     troopers
    1.44
     troop
    1.33
     Trophy
    1.22
     Tra
    1.11
    Activations Density 0.026%

    No Known Activations