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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. 1-RES-JB
    11. 5421
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    INDEX
    Explanations

    words related to the act of omitting or excluding information

    oai_token-act-pair · gpt-3.5-turbo

    references to omissions and parentheses in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olutions
    -0.78
    iste
    -0.78
    ride
    -0.76
     negoti
    -0.73
    ocity
    -0.71
    packs
    -0.71
    ingham
    -0.70
    wave
    -0.70
    ebus
    -0.69
     adequ
    -0.69
    POSITIVE LOGITS
     omission
    1.10
     omitted
    1.08
     omit
    0.97
    ãģĹ
    0.86
     mention
    0.83
     mentioning
    0.82
    ãĤĤ
    0.77
    ãģı
    0.76
     missing
    0.75
    endix
    0.75
    Activations Density 0.022%

    No Known Activations