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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. 8-RES-JB
    11. 9032
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    Explanations

    phrases related to technical errors and issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating errors or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironments
    -0.75
    ngth
    -0.75
    nels
    -0.72
    natureconservancy
    -0.72
    illac
    -0.72
    naissance
    -0.72
    kees
    -0.71
    ctr
    -0.69
    groups
    -0.69
    OPS
    -0.66
    POSITIVE LOGITS
     occurred
    0.77
     omission
    0.76
     Runtime
    0.73
     Failed
    0.71
    ]}
    0.71
     Cancel
    0.70
     Shooting
    0.67
     deletion
    0.66
     unfocusedRange
    0.66
     Error
    0.65
    Activations Density 0.042%

    No Known Activations