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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. 15257
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    Explanations

    words related to actions, behaviors, or roles within a specific context

    oai_token-act-pair · gpt-3.5-turbo

    prefixes or roots that suggest a connection to concepts or relationships

    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
     roof
    -0.61
     Sunshine
    -0.59
     Comet
    -0.57
     Normandy
    -0.57
    Definition
    -0.56
     window
    -0.56
     microscope
    -0.55
     Sandwich
    -0.55
     Shore
    -0.53
     scaff
    -0.53
    POSITIVE LOGITS
    pecially
    1.12
    etheless
    0.99
    cially
    0.94
    fortunately
    0.89
    arently
    0.88
    wise
    0.86
    ardless
    0.85
    hetically
    0.85
    umbered
    0.84
    ONSORED
    0.83
    Activations Density 0.417%

    No Known Activations