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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. 0-RES-JB
    11. 9576
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     blu
    -0.83
     amber
    -0.64
     clear
    -0.64
     Blu
    -0.64
     Peb
    -0.62
     Strike
    -0.61
     Lith
    -0.60
     sensors
    -0.60
     Ball
    -0.60
     Ver
    -0.60
    POSITIVE LOGITS
    orship
    4.80
    oring
    1.58
    ored
    1.54
    orial
    1.45
    ors
    1.45
    orate
    1.43
    manship
    1.25
    ORS
    1.24
    hip
    1.21
    ership
    1.20
    Activations Density 0.006%

    No Known Activations