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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. 2-RES-JB
    11. 11491
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    Explanations

    words related to omission or subtraction

    oai_token-act-pair · gpt-3.5-turbo

    references to omissions or excluded information

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idal
    -0.79
    ingham
    -0.77
    olutions
    -0.72
    wave
    -0.72
    uay
    -0.72
    izoph
    -0.71
    oÄŁ
    -0.69
    ¯¯¯¯¯¯¯¯
    -0.68
    ayn
    -0.66
    Phones
    -0.65
    POSITIVE LOGITS
     omitted
    0.98
     omission
    0.88
     omit
    0.87
     forgot
    0.80
     mention
    0.80
     offending
    0.78
     mentioning
    0.77
    ãģĹ
    0.74
     disclaim
    0.72
     bothering
    0.70
    Activations Density 0.021%

    No Known Activations