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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. 8003
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    INDEX
    Explanations

    measurements and quantities specified in micrograms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of micrograms and official documents like memorandums

    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
    uary
    -0.77
    essional
    -0.69
     immune
    -0.68
    reon
    -0.67
     antiv
    -0.65
    itia
    -0.64
     antibiotics
    -0.64
    icide
    -0.64
    nsics
    -0.63
     jelly
    -0.63
    POSITIVE LOGITS
    gram
    1.98
    åħ
    1.70
     seated
    1.58
     memorandum
    1.47
     Memor
    1.41
    åı
    1.29
     Available
    1.13
    çĶ
    1.02
     thrust
    0.98
     seating
    0.93
    Activations Density 0.038%

    No Known Activations