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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. 19914
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    INDEX
    Explanations

    situations demanding concise and clear communication

    oai_token-act-pair · gpt-3.5-turbo

    guidelines for effective writing and organization

    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
     Emirates
    -0.75
    cosystem
    -0.75
    rica
    -0.73
    mare
    -0.72
     Predator
    -0.67
    Sensor
    -0.66
     Canary
    -0.65
    vantage
    -0.65
     goodwill
    -0.65
    soc
    -0.64
    POSITIVE LOGITS
     paragraphs
    1.44
     syll
    1.36
     text
    1.36
     sentences
    1.33
     essays
    1.24
     concise
    1.24
    text
    1.23
    paragraph
    1.20
     handwritten
    1.19
     poems
    1.17
    Activations Density 0.788%

    No Known Activations