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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. 10-RES-JB
    11. 24518
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    Explanations

    proper nouns related to educational institutions and locations

    oai_token-act-pair · gpt-3.5-turbo

    names of educational institutions and related locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.78
    hower
    -0.71
    opic
    -0.71
    eredith
    -0.70
    ahon
    -0.70
    EED
    -0.64
    aleb
    -0.64
    ramer
    -0.63
    constitutional
    -0.63
    hang
    -0.63
    POSITIVE LOGITS
     Parish
    1.10
     Cathedral
    0.91
     Anglic
    0.87
     Baptist
    0.86
     Episcopal
    0.86
     Catholic
    0.83
     basil
    0.82
    sburg
    0.81
     Lutheran
    0.80
     Basil
    0.75
    Activations Density 0.051%

    No Known Activations