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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
    11. 3958
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    Explanations

    formats for structured information, such as titles and categories

    oai_token-act-pair · gpt-3.5-turbo

    colons and structured data or categorization elements

    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
    fman
    -0.87
    avorite
    -0.83
    uve
    -0.78
    rera
    -0.78
    oldown
    -0.78
    vre
    -0.77
    ĸļ
    -0.76
    ideon
    -0.76
    ween
    -0.75
    rites
    -0.74
    POSITIVE LOGITS
     Logged
    0.89
     TBD
    0.88
     Measures
    0.86
     Detected
    0.84
     Unknown
    0.83
     Provided
    0.76
     Selected
    0.75
     ???
    0.74
     CARD
    0.74
     Quantity
    0.73
    Activations Density 0.110%

    No Known Activations