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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. 10-RES-JB
    11. 5585
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    Explanations

    references to size or magnitude

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements or dimensions in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esson
    -0.87
    vous
    -0.83
    odore
    -0.76
    ĪĴ
    -0.73
    eering
    -0.73
    swick
    -0.72
    riad
    -0.70
    wich
    -0.69
     Leilan
    -0.68
    pron
    -0.68
    POSITIVE LOGITS
    Factor
    0.91
     scale
    0.89
     invari
    0.86
     scales
    0.84
     factor
    0.80
     replica
    0.79
     magnification
    0.77
     proportions
    0.76
    Scale
    0.72
     multiplier
    0.71
    Activations Density 0.036%

    No Known Activations