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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. 7710
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    Explanations

    phrases indicating a warning or strong suggestion against certain actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of abstaining or holding back

    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
    nesota
    -0.67
    otom
    -0.67
    sterdam
    -0.65
    alk
    -0.64
    scan
    -0.64
    aco
    -0.63
    azz
    -0.63
    mage
    -0.62
     Awesome
    -0.62
    config
    -0.62
    POSITIVE LOGITS
     refrain
    3.90
     cease
    1.30
     chant
    1.07
     mantra
    1.07
     tune
    1.06
     chorus
    1.05
     omit
    0.98
     restrain
    0.97
     impunity
    0.90
     motif
    0.90
    Activations Density 0.025%

    No Known Activations