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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. 8664
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    Explanations

    phrases related to providing guidance or instructions on specific topics

    oai_token-act-pair · gpt-3.5-turbo

    the word "on" in various contexts

    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
    INAL
    -0.70
    ptives
    -0.68
    waters
    -0.67
     Sabha
    -0.66
    olla
    -0.65
    oland
    -0.64
    EngineDebug
    -0.64
    ãĤ£
    -0.62
    SAY
    -0.62
    soDeliveryDate
    -0.62
    POSITIVE LOGITS
     behalf
    1.48
     topics
    1.02
     how
    0.97
     why
    0.93
     steroids
    0.91
     topic
    0.88
    site
    0.83
     Aging
    0.82
    yx
    0.82
     subjects
    0.82
    Activations Density 0.158%

    No Known Activations