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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. 12069
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    Explanations

    references to specific time points

    oai_token-act-pair · gpt-3.5-turbo

    references to time zones (specifically "PT")

    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
    Not in Any Lists

    No Comments

    Negative Logits
    flies
    -0.82
    itably
    -0.81
    hold
    -0.81
    perse
    -0.80
    itable
    -0.72
    bars
    -0.72
    bye
    -0.69
    nces
    -0.69
    amus
    -0.69
    itability
    -0.69
    POSITIVE LOGITS
     Cruiser
    0.94
     PT
    0.91
    PD
    0.86
    EMBER
    0.86
    ypes
    0.85
    WS
    0.85
    TP
    0.83
    JD
    0.81
    OB
    0.80
    GF
    0.79
    Activations Density 0.006%

    No Known Activations