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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. 18171
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    Explanations

    keywords related to measurement or comparative size in texts

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels and concepts of scale

    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
    esson
    -0.83
    eering
    -0.79
    odore
    -0.74
    pron
    -0.72
    ĪĴ
    -0.70
    selves
    -0.70
    vous
    -0.70
     Leilan
    -0.70
    eers
    -0.69
    etheless
    -0.69
    POSITIVE LOGITS
     scale
    0.88
     replica
    0.85
     invari
    0.81
    Factor
    0.78
     scales
    0.73
     factor
    0.73
     magnification
    0.72
     proportions
    0.71
    Scale
    0.71
     cooker
    0.69
    Activations Density 0.038%

    No Known Activations