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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. 23931
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    INDEX
    Explanations

    mentions of potential or hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating potential or hypothetical situations

    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
    ulu
    -0.91
    cipline
    -0.87
    strap
    -0.85
    region
    -0.82
    kai
    -0.81
    ients
    -0.80
    mson
    -0.80
    gar
    -0.80
    lite
    -0.80
    ient
    -0.78
    POSITIVE LOGITS
     future
    0.92
     successors
    0.87
     fallout
    0.85
     obstruction
    0.84
     defect
    0.83
     inclusion
    0.82
     culprit
    0.82
     hazards
    0.82
     embodiments
    0.81
     solutions
    0.81
    Activations Density 0.042%

    No Known Activations