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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. 4-RES-JB
    11. 4160
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    Explanations

    mentions of water sources, particularly bore water

    oai_token-act-pair · gpt-3.5-turbo

    repetitions of the word "bore" in various contexts

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

    No Comments

    Negative Logits
    icious
    -0.79
    stasy
    -0.74
    %"
    -0.72
    ournal
    -0.69
    ivas
    -0.67
    Phoenix
    -0.67
    eanor
    -0.66
    Seattle
    -0.66
    é¾įå
    -0.64
     libertarians
    -0.64
    POSITIVE LOGITS
    hole
    1.11
    holes
    1.04
     bore
    0.92
     Bore
    0.85
    byss
    0.82
    tto
    0.81
    zz
    0.81
    nces
    0.80
    ller
    0.76
     holes
    0.75
    Activations Density 0.010%

    No Known Activations