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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. 7-RES-JB
    11. 2756
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    INDEX
    Explanations

    sentence starters introducing an idea or concept

    oai_token-act-pair · gpt-3.5-turbo

    statements that describe the existence or condition of an object or situation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agues
    -0.73
     ceremon
    -0.70
     Yor
    -0.66
     fence
    -0.64
    iture
    -0.61
    iets
    -0.61
     whis
    -0.60
    ahs
    -0.60
    urred
    -0.60
     canoe
    -0.59
    POSITIVE LOGITS
     Madness
    0.75
    KER
    0.74
    Reviewer
    0.72
    olation
    0.71
    FFER
    0.69
    HOW
    0.69
    ample
    0.67
    GRE
    0.67
     nothing
    0.66
     astounding
    0.66
    Activations Density 0.108%

    No Known Activations