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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. 3728
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    INDEX
    Explanations

    phrases indicating something is out of one's control or surpasses normal limitations

    oai_token-act-pair · gpt-3.5-turbo

    references to limitations and situations beyond control

    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
     Cancel
    -0.75
     AGA
    -0.75
     @@
    -0.70
    achine
    -0.66
     MFT
    -0.65
    MpServer
    -0.65
    uala
    -0.64
     largeDownload
    -0.64
    andr
    -0.64
    )=
    -0.63
    POSITIVE LOGITS
     confines
    1.38
     bounds
    1.38
     boundaries
    1.28
     borders
    1.23
     limits
    1.12
     realms
    0.93
     scope
    0.90
     realm
    0.86
     reach
    0.86
     boundary
    0.85
    Activations Density 0.151%

    No Known Activations