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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. 20794
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    Explanations

    words related to conventional methods or designs

    oai_token-act-pair · gpt-3.5-turbo

    references to conventional standards or practices

    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
    oning
    -0.68
    hner
    -0.64
    giving
    -0.64
    yrs
    -0.63
    hop
    -0.63
    Cost
    -0.62
     Grants
    -0.60
    Crash
    -0.60
    ander
    -0.60
    han
    -0.59
    POSITIVE LOGITS
    ventional
    1.15
     conventional
    1.04
     wisdom
    0.93
    itionally
    0.84
     orthodox
    0.83
    odox
    0.81
    etheless
    0.79
    arily
    0.78
    ually
    0.77
    ritional
    0.77
    Activations Density 0.007%

    No Known Activations