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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. 4537
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    Explanations

    names or words containing "Loretta" with relatively high activations

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals, particularly focusing on a specific Attorney General

    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
    é¾
    -0.79
    ahime
    -0.73
    egg
    -0.72
    VERTISEMENT
    -0.70
    resources
    -0.68
    owler
    -0.68
    livious
    -0.67
     NCT
    -0.67
    ergy
    -0.67
     Yuan
    -0.65
    POSITIVE LOGITS
    tta
    0.88
    veland
    0.84
    ignt
    0.84
    wn
    0.80
    igger
    0.80
    ño
    0.78
    ldom
    0.77
    ñ
    0.76
    uth
    0.75
    uti
    0.75
    Activations Density 0.011%

    No Known Activations