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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 19240
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    Explanations

    phrases related to specific locations or places

    oai_token-act-pair · gpt-3.5-turbo

    locations and geographical references

    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
     positives
    -0.47
    CHAT
    -0.44
    apego
    -0.43
    rehensive
    -0.43
    onite
    -0.42
     carbohyd
    -0.41
     bre
    -0.40
    isites
    -0.39
    PDATE
    -0.39
    ophy
    -0.38
    POSITIVE LOGITS
     Indies
    0.61
    é¾įå¥ij士
    0.56
     vicinity
    0.50
     guise
    0.50
     circles
    0.49
     Netherlands
    0.48
    rooms
    0.48
     Tanzania
    0.48
     Fiji
    0.47
     Royale
    0.47
    Activations Density 1.489%

    No Known Activations