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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. 22500
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    Explanations

    terms related to hierarchy or importance

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to pre-qualification or qualifications, particularly in various contexts

    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
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
    ĸļ
    -0.64
    oub
    -0.64
     Woodward
    -0.62
     dissatisf
    -0.62
    Merit
    -0.61
    ById
    -0.60
     pond
    -0.60
     Schmidt
    -0.58
    bane
    -0.58
    POSITIVE LOGITS
    itional
    0.83
    atural
    0.80
    emption
    0.78
    ursed
    0.77
    atal
    0.74
    ptive
    0.74
    ctr
    0.73
    istration
    0.72
    aphael
    0.71
    ruary
    0.71
    Activations Density 0.052%

    No Known Activations