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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. 22444
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    Explanations

    scientific observations and data

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific observations

    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
    yss
    -0.77
    enic
    -0.74
    gur
    -0.72
    duct
    -0.71
    paying
    -0.67
    uilt
    -0.67
    minent
    -0.65
    nan
    -0.63
     careg
    -0.62
    riger
    -0.62
    POSITIVE LOGITS
     observations
    1.24
     Observ
    1.08
     observation
    0.83
     readings
    0.82
    é¾
    0.79
    ynthesis
    0.77
     findings
    0.76
    éŃĶ
    0.76
    wcsstore
    0.74
    ives
    0.73
    Activations Density 0.013%

    No Known Activations