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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. 1073
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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
     tremend
    -0.80
     undermin
    -0.75
    Ń·
    -0.73
     strugg
    -0.72
     mosqu
    -0.70
    etsy
    -0.69
    merce
    -0.67
    erning
    -0.65
     volunte
    -0.65
     exting
    -0.65
    POSITIVE LOGITS
     Additionally
    1.29
     However
    1.25
     Interestingly
    1.25
     Later
    1.20
     Furthermore
    1.19
     Despite
    1.18
     Notably
    1.16
     According
    1.14
     Similarly
    1.14
     During
    1.12
    Activations Density 0.062%

    No Known Activations