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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

    mentions of specific locations, specifically the word 'Water' with high activations

    oai_token-act-pair · gpt-3.5-turbo

    references to "Water."

    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
    Reloaded
    -0.99
    ures
    -0.77
    SPONSORED
    -0.72
    olson
    -0.69
    eways
    -0.69
    onday
    -0.68
    uler
    -0.68
    ching
    -0.68
    GBT
    -0.67
    ablishment
    -0.66
    POSITIVE LOGITS
    melon
    1.42
    colour
    1.02
    Water
    0.95
    water
    0.93
    proof
    0.93
    ford
    0.90
    Nap
    0.90
     Water
    0.89
    Aid
    0.87
    loo
    0.87
    Activations Density 0.018%

    No Known Activations