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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. 15320
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    Explanations

    visual elements such as arrows and panels in diagrams or figures

    oai_token-act-pair · gpt-3.5-turbo

    specific references to arrows and visual indicators in diagrams or figures

    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
    ointed
    -0.76
     Inquisition
    -0.74
    Joined
    -0.66
     polic
    -0.65
     supernatural
    -0.65
     doctrines
    -0.64
    irgin
    -0.64
     lax
    -0.64
    inctions
    -0.63
    answered
    -0.62
    POSITIVE LOGITS
    Figure
    1.16
     depicts
    1.11
    below
    1.07
     illustrates
    1.03
     Figure
    1.02
     screenshot
    1.01
     below
    1.01
     illustrating
    1.01
     illustration
    0.99
     Fig
    0.97
    Activations Density 0.178%

    No Known Activations