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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. 11-RES-JB
    11. 9834
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    Explanations

    phrases related to behavior and actions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to behavior or behavioral studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ially
    -0.74
    pei
    -0.71
     Roof
    -0.67
     Kits
    -0.66
    IFIED
    -0.65
    eous
    -0.65
     Wid
    -0.64
    itized
    -0.62
     pid
    -0.61
    istries
    -0.61
    POSITIVE LOGITS
    aviour
    1.62
    avior
    1.49
    aving
    1.19
    aved
    1.16
    avi
    1.11
    avin
    1.03
    av
    1.02
    aves
    1.02
    avement
    0.97
    ave
    0.91
    Activations Density 0.096%

    No Known Activations