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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. 3-RES-JB
    11. 2817
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    INDEX
    Explanations

    references to measurement of physical distance or intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to "depth" in various contexts

    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
    eer
    -0.79
    Bey
    -0.76
    rote
    -0.73
    isol
    -0.69
    jee
    -0.68
    eers
    -0.66
    nee
    -0.66
    straight
    -0.66
     Sabha
    -0.64
    ronic
    -0.64
    POSITIVE LOGITS
     depth
    1.09
     Depth
    0.90
     penetration
    0.84
    depth
    0.78
     perception
    0.73
     depths
    0.71
     elevation
    0.70
     aversion
    0.70
    plings
    0.70
     breadth
    0.69
    Activations Density 0.009%

    No Known Activations