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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. 8-RES-JB
    11. 14812
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    Explanations

    technical terms related to construction or processing such as "fielding," "well," and "upsize."

    oai_token-act-pair · gpt-3.5-turbo

    the adverb "well."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anu
    -0.80
    illary
    -0.80
    rely
    -0.76
    IRO
    -0.75
    illac
    -0.71
    EStreamFrame
    -0.69
    hett
    -0.68
    emonic
    -0.66
    amera
    -0.65
    ELY
    -0.62
    POSITIVE LOGITS
    esley
    1.11
     Fargo
    0.92
    sburg
    0.90
    spring
    0.89
    ards
    0.88
    espie
    0.88
    stone
    0.84
    ness
    0.83
    mark
    0.82
    s
    0.81
    Activations Density 0.033%

    No Known Activations