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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. 3911
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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
     disadvant
    -0.90
     triv
    -0.69
     carbohyd
    -0.67
    arios
    -0.66
     imitation
    -0.65
     mosqu
    -0.65
     levers
    -0.63
     Seym
    -0.62
     predec
    -0.62
     hemor
    -0.61
    POSITIVE LOGITS
    ï¸ı
    1.10
    taboola
    0.83
    ï¸
    0.81
    ATH
    0.80
    £
    0.76
    Balt
    0.75
    ת
    0.75
     âĢº
    0.74
    ·
    0.74
    ×Ķ
    0.74
    Activations Density 0.408%

    No Known Activations