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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. 4-RES-JB
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    Explanations

    words related to weather phenomena, specifically fog

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fog" in various contexts

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

    No Comments

    Negative Logits
    brate
    -0.75
    brates
    -0.74
     VIDEOS
    -0.67
    Murray
    -0.67
    ensional
    -0.66
    realDonaldTrump
    -0.66
    Topics
    -0.65
    Rare
    -0.64
     Athlet
    -0.64
    DonaldTrump
    -0.63
    POSITIVE LOGITS
     fog
    1.09
    gy
    1.04
    ging
    1.00
    rain
    0.96
    ged
    0.94
     cloud
    0.91
    glers
    0.88
     haze
    0.86
     clouds
    0.85
    gers
    0.85
    Activations Density 0.010%

    No Known Activations