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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. 3-RES-JB
    11. 5367
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    Explanations

    names or references to the same recurring character "Miki" with varying levels of significance and context described in the document

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of a specific name or character reference

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CFR
    -0.68
    actionDate
    -0.68
    theless
    -0.66
    rified
    -0.66
    tumblr
    -0.64
    7601
    -0.64
    inant
    -0.63
     UNITED
    -0.63
    selves
    -0.62
    rons
    -0.61
    POSITIVE LOGITS
    isance
    0.98
    yu
    0.95
    yo
    0.95
    veyard
    0.94
    Äĩ
    0.91
    hei
    0.89
    iki
    0.87
    endas
    0.85
    ido
    0.84
    á¹
    0.81
    Activations Density 0.007%

    No Known Activations