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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. 3641
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    Explanations

    words related to natural disasters, specifically storms

    oai_token-act-pair · gpt-3.5-turbo

    references to storms, particularly in relation to their impact or occurrence

    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
    olars
    -0.82
    atem
    -0.80
    sembly
    -0.78
    ADRA
    -0.77
    ¿½
    -0.73
    atown
    -0.72
    entary
    -0.72
    aminer
    -0.71
    efficients
    -0.71
    cius
    -0.70
    POSITIVE LOGITS
    tro
    1.31
    storm
    1.07
    storms
    1.02
     surge
    0.92
     storms
    0.92
    worthiness
    0.91
    cloud
    0.88
    flower
    0.88
     storm
    0.88
    burst
    0.86
    Activations Density 0.016%

    No Known Activations