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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. 2-RES-JB
    11. 13483
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    Explanations

    proper nouns, likely related to a specific person or location

    oai_token-act-pair · gpt-3.5-turbo

    names or terms related to significant individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æĸ¹
    -0.74
    é¾įå¥ij士
    -0.71
    ĨĴ
    -0.70
    UID
    -0.68
    UTH
    -0.66
    FILE
    -0.66
     Schr
    -0.64
    UE
    -0.63
     NRS
    -0.61
    İĭ
    -0.61
    POSITIVE LOGITS
    aran
    1.26
    thur
    1.17
    thal
    1.14
    ovan
    1.03
    atural
    0.95
    igans
    0.93
    egal
    0.93
    ormal
    0.93
    nery
    0.88
    quin
    0.85
    Activations Density 0.013%

    No Known Activations