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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. 22712
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    Explanations

    names of specific TV shows and series

    oai_token-act-pair · gpt-3.5-turbo

    references to popular television shows or media content

    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
     destro
    -0.57
    igl
    -0.53
    oyal
    -0.52
    swick
    -0.52
    ometimes
    -0.51
    nick
    -0.51
    66666666
    -0.51
    alyst
    -0.50
     caut
    -0.50
     sqor
    -0.49
    POSITIVE LOGITS
    endment
    0.62
     Millennium
    0.49
    displayText
    0.48
     Hastings
    0.48
    DH
    0.47
    Hy
    0.47
     Word
    0.47
    ussions
    0.46
     Razor
    0.45
     Chill
    0.45
    Activations Density 0.953%

    No Known Activations