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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. 20233
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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 @ 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
    enegger
    -0.78
    cliffe
    -0.69
    nels
    -0.67
     Leap
    -0.65
     WARN
    -0.63
    trace
    -0.63
    culosis
    -0.62
    nesday
    -0.60
    nces
    -0.60
    osponsors
    -0.60
    POSITIVE LOGITS
    ħ
    1.58
    Ķ
    1.45
    ĩ
    1.44
    ķ
    1.40
    İ
    1.30
    Ĩ
    1.30
    Ñ
    1.29
    Ħ
    1.28
    ĸ
    1.26
    ī
    1.26
    Activations Density 0.008%

    No Known Activations