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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. 10038
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    Explanations

    words or phrases related to situations or conditions that are extreme or difficult to control

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a state of being beyond limits or 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
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    Negative Logits
    ICAN
    -0.85
    pmwiki
    -0.75
     WATCHED
    -0.74
     Assass
    -0.65
     Mehran
    -0.64
    ãĤ·ãĥ£
    -0.62
     Mub
    -0.62
    ALLY
    -0.62
    è¦ļéĨĴ
    -0.61
    Ped
    -0.61
    POSITIVE LOGITS
    iche
    0.78
     comprehension
    0.78
     Borders
    0.78
    esis
    0.78
     bounds
    0.75
     reach
    0.74
    atos
    0.68
    lehem
    0.67
    plain
    0.67
     borders
    0.66
    Activations Density 0.026%

    No Known Activations