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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2370
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    Explanations

    scientific and technical terms related to processes and methods

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases associated with scientific processes and phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Scand
    -0.76
    onge
    -0.72
     Tsukuyomi
    -0.71
     Takeru
    -0.69
     Else
    -0.67
     Samurai
    -0.67
     Franch
    -0.66
    rehens
    -0.66
    swick
    -0.66
    atoon
    -0.66
    POSITIVE LOGITS
     whereby
    1.05
    meaning
    1.01
     aka
    0.97
     meaning
    0.82
     permitting
    0.78
     shorthand
    0.77
    defined
    0.77
    phase
    0.71
    sic
    0.69
    around
    0.69
    Activations Density 0.429%

    No Known Activations