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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. 5758
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    phrases related to increasing the effectiveness, power, or efficiency of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to efficiency and the effectiveness of various systems or measures

    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
     largeDownload
    -0.93
    çĶ°
    -0.87
    ĸļ
    -0.84
    wcsstore
    -0.83
    éĥ
    -0.80
    ãĤ©
    -0.77
    ï¸
    -0.75
    moil
    -0.75
    selage
    -0.74
    ë
    -0.73
    POSITIVE LOGITS
     existing
    0.95
     certain
    0.92
     vulnerable
    0.84
     those
    0.82
     harmful
    0.80
     undesirable
    0.78
     frontline
    0.76
     offending
    0.74
     unwanted
    0.74
     disadvantaged
    0.73
    Activations Density 0.270%

    No Known Activations