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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. 2-RES-JB
    11. 14099
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    Explanations

    explicit references or mentions within a document

    oai_token-act-pair · gpt-3.5-turbo

    references to explicit content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.81
     Quincy
    -0.79
     Tycoon
    -0.76
     Hav
    -0.76
     Hancock
    -0.73
    pered
    -0.73
    Squ
    -0.70
     Trem
    -0.69
     Adams
    -0.67
    kee
    -0.66
    POSITIVE LOGITS
     guiActiveUn
    1.06
     explicit
    1.03
     textual
    0.94
     explicitly
    0.85
     explor
    0.76
     implicit
    0.75
     prohibitions
    0.73
     transmission
    0.69
     alloc
    0.68
     implication
    0.68
    Activations Density 0.012%

    No Known Activations