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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. 23016
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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
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    No Comments

    Negative Logits
    afort
    -0.89
    claimer
    -0.89
    ike
    -0.79
    ealing
    -0.76
    anding
    -0.75
    qqa
    -0.75
    amina
    -0.74
    orney
    -0.74
    adata
    -0.73
    ifle
    -0.73
    POSITIVE LOGITS
     spate
    1.02
     additions
    0.95
     arrivals
    0.92
     developments
    0.90
     episode
    0.86
     evening
    0.86
     afternoon
    0.86
     morning
    0.85
     evenings
    0.85
     episodes
    0.83
    Activations Density 0.029%

    No Known Activations