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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. 0-RES-JB
    11. 5180
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    INDEX
    Explanations

    references to physical weight or metaphorical importance in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to weight, particularly in health or physical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atl
    -0.84
    ync
    -0.75
    arios
    -0.71
    aries
    -0.70
    cape
    -0.67
    naires
    -0.66
    Es
    -0.65
    xus
    -0.65
    iots
    -0.64
    paces
    -0.63
    POSITIVE LOGITS
     weight
    3.88
     Weight
    2.74
     weights
    2.65
    weight
    2.64
    Weight
    2.56
    weights
    1.91
     weigh
    1.68
     weighing
    1.63
     weighed
    1.62
     weighs
    1.53
    Activations Density 0.013%

    No Known Activations