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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. 6-RES-JB
    11. 10719
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    Explanations

    phrases related to special or notable things or events

    oai_token-act-pair · gpt-3.5-turbo

    words related to entities or characteristics often associated with specific types of beings or objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mbuds
    -0.86
    AMS
    -0.83
    pin
    -0.74
    head
    -0.73
    mith
    -0.73
    udeb
    -0.72
    WT
    -0.71
    ardless
    -0.70
    MAR
    -0.70
    zona
    -0.70
    POSITIVE LOGITS
    ial
    1.11
    ially
    0.98
    ient
    0.96
    eer
    0.91
    eers
    0.77
    eering
    0.75
    ré
    0.74
    ality
    0.74
    leness
    0.73
    ious
    0.73
    Activations Density 0.031%

    No Known Activations