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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. 18604
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    INDEX
    Explanations

    names and surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people and places

    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
    Plex
    -0.77
    ADRA
    -0.76
    PASS
    -0.76
    FACE
    -0.70
     overwhelming
    -0.69
    Vote
    -0.67
    Issue
    -0.66
    Tokens
    -0.65
    FIX
    -0.65
    actionDate
    -0.62
    POSITIVE LOGITS
    tein
    1.06
     Jr
    1.02
    oglu
    0.97
     Sr
    0.93
    oulos
    0.93
     III
    0.90
    icz
    0.87
     QC
    0.84
    zyk
    0.84
    ensis
    0.82
    Activations Density 0.325%

    No Known Activations