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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
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    Explanations

    references to the name "Chase"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Chase" in various contexts

    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
    atics
    -0.84
    hops
    -0.82
    usterity
    -0.78
    etheless
    -0.78
    eatures
    -0.77
     exha
    -0.75
    ighters
    -0.74
    aciously
    -0.74
    guyen
    -0.73
    aced
    -0.72
    POSITIVE LOGITS
     Chase
    1.17
     Sapphire
    0.84
    berry
    0.73
    berries
    0.72
     Cars
    0.71
     Marriott
    0.70
     Diamond
    0.68
    Diamond
    0.68
     Pilgrim
    0.67
     Masters
    0.67
    Activations Density 0.014%

    No Known Activations