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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. 1-RES-JB
    11. 11552
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    Explanations

    phrases related to fuel efficiency and extraction of resources like coal

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to endurance or persistence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.64
    RESULTS
    -0.62
    Ĥİ
    -0.59
    etheless
    -0.56
     expel
    -0.56
    etsk
    -0.55
    Abstract
    -0.54
     pse
    -0.53
    auga
    -0.53
    WAYS
    -0.52
    POSITIVE LOGITS
    uber
    0.65
    ona
    0.59
    emale
    0.58
    isha
    0.57
    irst
    0.57
     Bride
    0.56
    wolves
    0.56
    inav
    0.54
    rament
    0.54
    aily
    0.54
    Activations Density 0.610%

    No Known Activations