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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. 23932
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    oai_token-act-pair · gpt-3.5-turbo

    words related to failure or inadequacy

    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
    izoph
    -0.81
    İĭ
    -0.74
    ĵĺ
    -0.72
    orers
    -0.71
    ©¶æ
    -0.70
    riber
    -0.70
    axter
    -0.70
     ende
    -0.69
     unden
    -0.67
    prises
    -0.65
    POSITIVE LOGITS
    nah
    0.85
    uminati
    0.79
    DEN
    0.71
    umbai
    0.70
     burner
    0.70
     Nadu
    0.69
    aint
    0.68
    umin
    0.67
    ptin
    0.66
    ung
    0.65
    Activations Density 0.059%

    No Known Activations