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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. 17829
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    Explanations

    phrases related to a large number of people or things

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "some" indicating quantities or groups

    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
    apse
    -0.64
     Clock
    -0.62
    ibility
    -0.62
    batch
    -0.62
    ifice
    -0.62
    rush
    -0.61
    livion
    -0.61
    gery
    -0.60
    gon
    -0.59
    sis
    -0.59
    POSITIVE LOGITS
     semblance
    1.05
    ones
    0.96
     dozen
    0.92
     hundred
    0.86
    how
    0.85
     600
    0.84
    place
    0.82
    body
    0.81
     unspecified
    0.81
     200
    0.80
    Activations Density 0.108%

    No Known Activations