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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. 5539
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    Explanations

    proper nouns and specific names such as names of people, organizations, and places

    oai_token-act-pair · gpt-3.5-turbo

    references to statements or actions attributed to individuals or groups

    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
    SPONSORED
    -0.94
     ______
    -0.82
     guiActiveUnfocused
    -0.81
    ↵Âł
    -0.74
    DN
    -0.73
     -->
    -0.72
    .�
    -0.71
    Contents
    -0.69
    ///
    -0.68
    ](
    -0.68
    POSITIVE LOGITS
    idges
    0.87
    resa
    0.75
    adder
    0.72
    iannopoulos
    0.72
    lez
    0.71
    enegger
    0.70
    xiety
    0.69
    olars
    0.69
    asionally
    0.69
    vertisement
    0.67
    Activations Density 0.648%

    No Known Activations