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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. 1414
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    Explanations

    phrases related to ongoing investigations

    oai_token-act-pair · gpt-3.5-turbo

    references to investigations and inquiries

    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
    emonic
    -0.71
    licks
    -0.68
    birth
    -0.65
    yip
    -0.64
    åħī
    -0.64
     maiden
    -0.61
     goodbye
    -0.61
    eton
    -0.60
    Unix
    -0.60
     imitation
    -0.59
    POSITIVE LOGITS
     probing
    1.03
     into
    0.96
     investigation
    0.94
     investigating
    0.94
     probe
    0.93
     conducted
    0.90
     probes
    0.90
     involving
    0.89
     investigates
    0.89
     undertaken
    0.88
    Activations Density 0.068%

    No Known Activations