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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. 2876
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    Explanations

    different types of grains and drugs

    oai_token-act-pair · gpt-3.5-turbo

    terms related to substances, their compositions, and cultural or dietary classifications

    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
    terness
    -0.68
    tnc
    -0.58
    Merit
    -0.57
    lde
    -0.56
    ldon
    -0.55
    bernatorial
    -0.54
    aton
    -0.53
    uncture
    -0.53
    isconsin
    -0.52
    ivism
    -0.51
    POSITIVE LOGITS
     equivalents
    0.74
    -,
    0.57
     or
    0.54
    +.
    0.52
    س
    0.48
     (=
    0.47
    /
    0.46
    *.
    0.46
     equival
    0.46
     accessories
    0.45
    Activations Density 1.334%

    No Known Activations