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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. 9-RES-JB
    11. 1390
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    Explanations

    words related to coolness, with a particular focus on physical sensations and elements

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food and biological concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -1.13
    nesday
    -0.67
    rower
    -0.66
    hyde
    -0.65
    hower
    -0.64
     Stamford
    -0.64
    omore
    -0.63
    yip
    -0.63
     Doe
    -0.62
    ipop
    -0.60
    POSITIVE LOGITS
     ones
    1.16
    isms
    1.16
    pieces
    1.14
     alike
    1.08
    esses
    1.07
    ships
    1.06
    ettes
    1.05
     equivalents
    1.04
    nesses
    1.03
     attachments
    1.03
    Activations Density 0.509%

    No Known Activations