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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. 4525
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    IELD
    -0.67
    lessly
    -0.66
    awar
    -0.65
     Oaks
    -0.62
     chilling
    -0.60
     relaxing
    -0.59
     intimate
    -0.59
     livelihood
    -0.58
    omnia
    -0.56
    avorite
    -0.56
    POSITIVE LOGITS
    ues
    1.72
    uing
    1.33
    ued
    1.28
    rams
    1.21
    raphic
    1.20
    raph
    1.15
    ging
    1.12
    uez
    1.09
    raphics
    1.08
    UE
    1.07
    Activations Density 0.052%

    No Known Activations