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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. 6807
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    Explanations

    questions starting with "Why is/are" or "Why did" and similar constructions

    oai_token-act-pair · gpt-3.5-turbo

    rhetorical questions that express disbelief or curiosity

    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
     ILCS
    -0.79
    apixel
    -0.77
    achus
    -0.71
    achel
    -0.69
    iasm
    -0.68
    uli
    -0.67
    borg
    -0.66
    rentices
    -0.64
    planes
    -0.63
    essional
    -0.63
    POSITIVE LOGITS
    Magikarp
    0.76
     differ
    0.70
    DERR
    0.69
     differed
    0.67
     differs
    0.64
    ãĤ®
    0.64
    ?]
    0.64
    ]),
    0.63
     invoked
    0.61
    ItemImage
    0.61
    Activations Density 0.196%

    No Known Activations