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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. 21006
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    Explanations

    proper names and surnames

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of proper nouns and names

    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
    ccording
    -0.86
     Seym
    -0.72
     subscript
    -0.71
    sembly
    -0.67
     conflic
    -0.66
    bably
    -0.66
    omed
    -0.65
    ikarp
    -0.64
     TAM
    -0.64
    Ĩ
    -0.63
    POSITIVE LOGITS
    ville
    1.00
     Oaks
    0.91
    wood
    0.90
    stown
    0.90
     County
    0.90
    gren
    0.88
    berger
    0.86
     Brothers
    0.83
    ridge
    0.82
    hurst
    0.81
    Activations Density 0.252%

    No Known Activations