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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. 1-RES-JB
    11. 21984
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    Explanations

    phrases related to events or actions that occurred in the past

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods in the past

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urrent
    -0.77
    hma
    -0.69
    SIM
    -0.66
    hop
    -0.65
    eers
    -0.64
    harm
    -0.64
    achus
    -0.63
    aspx
    -0.61
    ixtape
    -0.61
    wrapper
    -0.60
    POSITIVE LOGITS
     ago
    1.24
     Ago
    0.84
     Ples
    0.75
    opausal
    0.75
     Dove
    0.67
    etheless
    0.64
    ials
    0.62
    entimes
    0.60
     retracted
    0.60
    theless
    0.60
    Activations Density 0.022%

    No Known Activations