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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. 1841
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    INDEX
    Explanations

    verbs ending in 'enrolling', 'enroll', or 'enrolled' combined with other words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    forms of the word "enroll."

    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
    asta
    -0.67
    intel
    -0.65
    webkit
    -0.64
    pert
    -0.64
    oeuv
    -0.63
    ĸļ
    -0.61
    sem
    -0.61
    erer
    -0.59
    attribute
    -0.59
    itars
    -0.58
    POSITIVE LOGITS
    ments
    1.12
    lees
    1.08
    uates
    1.04
    untarily
    0.96
    ment
    0.91
    rollment
    0.87
    lee
    0.76
     enrollment
    0.74
    äºĶ
    0.73
    uating
    0.71
    Activations Density 0.042%

    No Known Activations