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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. 2-RES-JB
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    Explanations

    words related to weather phenomena

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rain" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    POS
    -0.72
    urated
    -0.72
    aminer
    -0.69
    orea
    -0.68
    rupulous
    -0.66
     Pwr
    -0.65
    choes
    -0.65
    irlf
    -0.65
    é¾įå¥ij士
    -0.64
    urses
    -0.64
    POSITIVE LOGITS
    bow
    1.12
    rain
    0.98
    bows
    0.95
    phrine
    0.95
    forest
    0.77
    pants
    0.77
    cone
    0.76
    warn
    0.73
    drops
    0.73
    ieri
    0.72
    Activations Density 0.006%

    No Known Activations