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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. 6-RES-JB
    11. 7575
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    Explanations

    keywords related to specific locations or names of places and people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly 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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zinski
    -0.70
     Surviv
    -0.69
    UME
    -0.68
    jri
    -0.68
    aminer
    -0.67
    ngth
    -0.66
     Pastebin
    -0.66
    ntil
    -0.66
    ccording
    -0.66
    lopp
    -0.64
    POSITIVE LOGITS
    stown
    1.34
    ville
    1.12
     Creek
    1.02
    town
    0.98
     County
    0.92
    ston
    0.92
    hurst
    0.90
    sonian
    0.89
     Valley
    0.88
     Beach
    0.85
    Activations Density 0.239%

    No Known Activations