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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. 9-RES-JB
    11. 10287
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    Explanations

    phrases related to a specific person named "Tom"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Tom"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     abiding
    -0.67
    ements
    -0.66
     almonds
    -0.60
    places
    -0.60
     Gazette
    -0.60
     infringing
    -0.58
     underworld
    -0.57
     sense
    -0.57
     lia
    -0.56
     colleges
    -0.56
    POSITIVE LOGITS
    atoes
    1.40
    orrow
    1.12
     Clancy
    1.05
    ás
    1.04
    oya
    1.00
    Dispatch
    1.00
     Cruise
    0.97
    Tom
    0.97
    asso
    0.91
    mie
    0.91
    Activations Density 0.026%

    No Known Activations