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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21358
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    Explanations

    numerical patterns or codes in text data

    oai_token-act-pair · gpt-3.5-turbo

    structured data labels or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasm
    -0.82
    oldown
    -0.82
    acity
    -0.78
    jri
    -0.73
    ocr
    -0.72
     toppled
    -0.72
    gross
    -0.71
     tears
    -0.71
    uracy
    -0.70
    phthal
    -0.70
    POSITIVE LOGITS
     VIS
    0.81
    Anonymous
    0.77
     Notification
    0.73
     SOLD
    0.72
     Generic
    0.70
     Quantity
    0.70
     Unknown
    0.69
     INFORMATION
    0.69
     CARD
    0.68
     Cosponsors
    0.68
    Activations Density 0.095%

    No Known Activations