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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. 8-RES-JB
    11. 16864
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    Explanations

    dates in the format month followed by day

    oai_token-act-pair · gpt-3.5-turbo

    specific dates, times, or numerical references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laim
    -0.76
    etimes
    -0.73
    ierrez
    -0.73
    anan
    -0.69
    cientious
    -0.67
    intend
    -0.66
    cules
    -0.65
    creen
    -0.63
    esse
    -0.63
    cies
    -0.61
    POSITIVE LOGITS
    east
    0.75
     winds
    0.63
     coasts
    0.60
     punches
    0.60
     dives
    0.58
     arrives
    0.58
     highs
    0.58
     arriving
    0.56
     darts
    0.56
     drills
    0.56
    Activations Density 0.145%

    No Known Activations