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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. 10341
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    INDEX
    Explanations

    instances where something is intended or meant to be

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating intended or expected outcomes

    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
    plex
    -0.73
    orsi
    -0.64
    orer
    -0.62
    airo
    -0.62
    enary
    -0.61
    anwhile
    -0.61
     Archdemon
    -0.60
    orem
    -0.59
     Calling
    -0.59
    sometimes
    -0.59
    POSITIVE LOGITS
     construed
    0.96
     interpreted
    0.92
     able
    0.87
     viewed
    0.85
     regarded
    0.84
     judged
    0.84
    witch
    0.81
    fall
    0.81
     eaten
    0.80
     considered
    0.80
    Activations Density 0.217%

    No Known Activations