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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 20808
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    Explanations

    names of individuals, potentially associated with legal or media contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly the name "Rosen."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.99
    DERR
    -0.82
    uate
    -0.79
    oran
    -0.74
    è¦ļéĨĴ
    -0.73
    ĪĴ
    -0.71
    acular
    -0.70
     newcom
    -0.69
    lain
    -0.69
    į
    -0.66
    POSITIVE LOGITS
    lette
    0.93
    cker
    0.83
    heet
    0.82
    qv
    0.81
    ball
    0.79
    vention
    0.78
    stal
    0.78
    bern
    0.77
    BILITIES
    0.77
    enthal
    0.75
    Activations Density 0.033%

    No Known Activations