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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. 13725
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    Explanations

    phrases related to showing or demonstrating something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "display" and its variations

    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
    wake
    -0.76
    istani
    -0.75
    shaw
    -0.71
    jet
    -0.71
    lake
    -0.69
     injection
    -0.67
    zai
    -0.67
    quartered
    -0.66
    owsky
    -0.65
    dding
    -0.65
    POSITIVE LOGITS
     prominently
    1.02
     Thumbnails
    0.95
     displays
    0.92
    osterone
    0.75
     banners
    0.74
     traits
    0.74
     exhibits
    0.72
     flashes
    0.71
     emotion
    0.70
    alus
    0.70
    Activations Density 0.032%

    No Known Activations