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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. 4715
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    Explanations

    acronyms related to organizations or fields

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "IC" followed by numerical designations or categorization labels

    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
    wich
    -0.77
    itism
    -0.77
    selves
    -0.74
    âķIJâķIJ
    -0.71
    tenance
    -0.71
    wards
    -0.70
    spread
    -0.68
    ments
    -0.68
     Nanto
    -0.66
    geons
    -0.66
    POSITIVE LOGITS
    ANN
    1.21
    trl
    1.05
    IJ
    0.95
    BM
    0.92
    ustom
    0.92
    ENSE
    0.92
    entric
    0.91
    ross
    0.90
    ULAR
    0.90
    ategory
    0.89
    Activations Density 0.049%

    No Known Activations