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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. 7-RES-JB
    11. 23759
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    Explanations

    extreme situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "extreme" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yard
    -0.88
    athan
    -0.84
    edin
    -0.78
    ËĪ
    -0.76
    icative
    -0.76
    shaw
    -0.76
    olith
    -0.75
    fman
    -0.75
    bats
    -0.74
    sburgh
    -0.72
    POSITIVE LOGITS
     vetting
    0.90
     poverty
    0.84
     lengths
    0.84
     temperatures
    0.81
     rarity
    0.80
     weather
    0.79
     rendition
    0.78
     amounts
    0.77
     ultraviolet
    0.76
     sensitivity
    0.76
    Activations Density 0.038%

    No Known Activations