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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. 6-RES-JB
    11. 14093
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    Explanations

    mentions of proper nouns or brand names

    oai_token-act-pair · gpt-3.5-turbo

    the term "origin" or its variations, indicating a focus on sources or beginnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pherd
    -0.78
    flake
    -0.71
    âķIJâķIJ
    -0.70
    lain
    -0.64
    Madison
    -0.62
    eely
    -0.62
    hyde
    -0.61
    HCR
    -0.61
     Rothschild
    -0.60
    STEM
    -0.59
    POSITIVE LOGITS
    inating
    1.20
    inals
    1.19
    ination
    1.11
    inated
    1.02
    inally
    0.99
    ami
    0.95
    inate
    0.92
    inal
    0.85
    ortun
    0.83
    amation
    0.82
    Activations Density 0.027%

    No Known Activations