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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. 22122
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    INDEX
    Explanations

    phrases with the word "of" followed by highly activating words

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating possession or inclusion

    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
    dayName
    -0.80
     condem
    -0.68
    eele
    -0.65
     disposed
    -0.63
    uterte
    -0.62
    illac
    -0.61
    ettel
    -0.61
     subst
    -0.60
    gee
    -0.60
    uca
    -0.60
    POSITIVE LOGITS
    THING
    0.81
     sorts
    0.78
    ahu
    0.74
     sudden
    0.71
     goddamn
    0.71
    together
    0.71
     imaginable
    0.70
     course
    0.68
    ources
    0.67
    important
    0.66
    Activations Density 0.080%

    No Known Activations