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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. 9-RES-JB
    11. 13207
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    Explanations

    statements related to consequences or implications

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims initiating with "This" that convey significant ideas or observations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ickets
    -0.81
    aughtered
    -0.78
    oslav
    -0.77
    aughed
    -0.76
    aths
    -0.76
    ARS
    -0.75
    姫
    -0.74
    affles
    -0.73
    cakes
    -0.73
    anches
    -0.72
    POSITIVE LOGITS
     phenomenon
    1.14
     discrepancy
    1.05
     article
    1.04
     culminated
    1.03
     includes
    1.02
     imbalance
    1.01
     realization
    0.98
     contrasts
    0.97
     begs
    0.97
     applies
    0.96
    Activations Density 0.163%

    No Known Activations