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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. 7-RES-JB
    11. 24163
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    Explanations

    programming code snippets with paths or directories

    oai_token-act-pair · gpt-3.5-turbo

    elements of technical or programming syntax

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Magikarp
    -0.66
    AMI
    -0.61
     Uriel
    -0.58
    76561
    -0.57
     entry
    -0.56
    ORN
    -0.56
     Jinn
    -0.55
    ICLE
    -0.54
    EGIN
    -0.54
     docking
    -0.54
    POSITIVE LOGITS
    igans
    0.76
    aceutical
    0.67
    cipled
    0.67
    fecture
    0.66
    bg
    0.66
    tal
    0.65
    inness
    0.65
    purpose
    0.65
    ateur
    0.64
    heastern
    0.63
    Activations Density 0.226%

    No Known Activations