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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. 7-RES-JB
    11. 15348
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    INDEX
    Explanations

    informal greetings or farewells

    oai_token-act-pair · gpt-3.5-turbo

    phrases commonly used in conversational exchanges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conom
    -0.91
    Preview
    -0.77
    UF
    -0.76
    staking
    -0.74
    attribute
    -0.72
    Ī
    -0.71
    ¿
    -0.71
    idges
    -0.71
    abase
    -0.69
    Enlarge
    -0.68
    POSITIVE LOGITS
     sir
    1.27
     huh
    1.11
     please
    1.04
     eh
    1.02
     gentlemen
    1.02
     dear
    1.00
     amen
    0.98
     darling
    0.97
     mate
    0.91
     ladies
    0.90
    Activations Density 0.282%

    No Known Activations