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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. 7-RES-JB
    11. 11596
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    Explanations

    phrases indicating inclusion or listing of items

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "included" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CLASSIFIED
    -0.73
    acia
    -0.65
    sis
    -0.64
    Ķ
    -0.62
    ¯¯¯¯¯¯¯¯
    -0.62
     emanating
    -0.61
    stem
    -0.60
    ²¾
    -0.60
    ŃĶ
    -0.59
    si
    -0.58
    POSITIVE LOGITS
     prominently
    0.81
     Include
    0.78
    ++++
    0.74
    ãģĨ
    0.71
    clus
    0.68
    krit
    0.65
    ãĤ½
    0.64
    ãĤ´
    0.64
    lements
    0.64
    ropolitan
    0.64
    Activations Density 0.063%

    No Known Activations