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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    distances indicated in kilometers

    oai_token-act-pair · gpt-3.5-turbo

    references to distances measured in kilometers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bearer
    -0.71
    FORE
    -0.67
    tek
    -0.66
    inse
    -0.64
     Wong
    -0.62
    Universal
    -0.60
     Bubble
    -0.60
    bear
    -0.59
    ERY
    -0.59
    ividual
    -0.59
    POSITIVE LOGITS
    km
    1.01
     km
    0.99
     kilometers
    0.84
     kilometres
    0.81
    airo
    0.79
    ansas
    0.76
    assing
    0.76
    ijk
    0.74
    iking
    0.74
    +)
    0.72
    Activations Density 0.008%

    No Known Activations