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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. 9-RES-JB
    11. 4995
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    INDEX
    Explanations

    names of locations and institutions, particularly focusing on universities and hospitals

    oai_token-act-pair · gpt-3.5-turbo

    names of universities and colleges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berman
    -0.90
    hower
    -0.79
    iasco
    -0.72
    ramer
    -0.71
    zee
    -0.70
    constitutional
    -0.68
    ahon
    -0.67
    utz
    -0.67
    aleb
    -0.64
    eredith
    -0.64
    POSITIVE LOGITS
     Parish
    1.00
     Baptist
    0.80
     Cathedral
    0.73
     Anglic
    0.73
     Isles
    0.69
     Catholic
    0.68
     Mission
    0.68
     Unleashed
    0.66
     Spirits
    0.66
     Bride
    0.66
    Activations Density 0.062%

    No Known Activations