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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. 4-RES-JB
    11. 15934
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    Explanations

    references to a specific television show

    oai_token-act-pair · gpt-3.5-turbo

    references to "Orange" in various contexts related to organizations or events

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

    No Comments

    Negative Logits
    Ö¼
    -0.90
    sonian
    -0.90
    tle
    -0.82
    stood
    -0.82
    ted
    -0.80
    TING
    -0.79
    DIR
    -0.76
    ebin
    -0.75
    rets
    -0.73
    akable
    -0.73
    POSITIVE LOGITS
     Blossom
    1.09
     Peel
    1.03
     peel
    0.98
     Orange
    0.94
     Juice
    0.92
    vale
    0.90
     juice
    0.85
     County
    0.82
    icum
    0.78
    berry
    0.76
    Activations Density 0.010%

    No Known Activations