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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. 10-RES-JB
    11. 8180
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    INDEX
    Explanations

    adjectives and adverbs indicating intensity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing moderation or excessive sentiment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    never
    -0.78
    bringing
    -0.69
     âĶľ
    -0.69
     remembrance
    -0.65
    always
    -0.64
    liest
    -0.63
    nor
    -0.62
    orney
    -0.62
    tta
    -0.61
    inarily
    -0.60
    POSITIVE LOGITS
     bog
    0.96
     hairy
    0.95
     frustrated
    0.92
     upset
    0.91
     embroiled
    0.90
     entangled
    0.89
     tired
    0.89
     annoyed
    0.87
     tangled
    0.87
     traction
    0.86
    Activations Density 0.069%

    No Known Activations