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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. 0-RES-JB
    11. 11754
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    Explanations

    mentions of wind-related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to wind energy and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASC
    -0.72
     Decoder
    -0.72
    anyl
    -0.71
    ania
    -0.71
    gru
    -0.71
    Ju
    -0.67
     Kab
    -0.65
    eele
    -0.65
     vou
    -0.65
    ettes
    -0.64
    POSITIVE LOGITS
     wind
    3.79
     winds
    2.62
    wind
    2.30
     Wind
    2.21
    Wind
    2.19
     breeze
    2.09
     Winds
    1.76
     winding
    1.39
     gust
    1.38
     rain
    1.29
    Activations Density 0.026%

    No Known Activations