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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. 9-RES-JB
    11. 7289
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    Explanations

    phrases related to physical locations or configurations, often involving technical or mechanical elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating locations or contexts within a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAEL
    -0.68
     presided
    -0.66
    Reason
    -0.65
    ril
    -0.63
     Revision
    -0.62
     Juda
    -0.61
     includ
    -0.61
    REF
    -0.61
     AUTHOR
    -0.61
    llor
    -0.61
    POSITIVE LOGITS
     lieu
    1.38
     conjunction
    1.25
    effic
    1.21
     emergencies
    1.13
    efficiency
    1.13
    versions
    1.12
     situations
    1.09
    animate
    1.08
     unison
    1.08
     accordance
    1.07
    Activations Density 0.297%

    No Known Activations