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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. 12383
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    Explanations

    phrases indicating affiliation or connection to a particular team or group

    oai_token-act-pair · gpt-3.5-turbo

    clauses that include the word "that," indicating a focus on explanatory or descriptive phrases

    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
     Pets
    -0.71
     Pict
    -0.70
     Gallery
    -0.67
     Dome
    -0.66
     Cheong
    -0.66
    bats
    -0.65
     Pavilion
    -0.64
    IVERS
    -0.62
     Another
    -0.62
     Directions
    -0.61
    POSITIVE LOGITS
    lished
    0.75
    ozy
    0.73
    yssey
    0.72
     plagued
    0.71
     comprised
    0.71
    ¿½
    0.70
    alore
    0.69
     consumes
    0.67
    href
    0.67
     convol
    0.67
    Activations Density 0.287%

    No Known Activations