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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. 4-RES-JB
    11. 1531
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    Explanations

    names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and locations

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

    No Comments

    Negative Logits
     disg
    -0.76
    udeb
    -0.62
     tenants
    -0.61
     retreating
    -0.59
    CVE
    -0.58
     neut
    -0.58
    Nap
    -0.57
     sheets
    -0.56
     fertile
    -0.56
    GF
    -0.56
    POSITIVE LOGITS
    kefeller
    1.06
    tainment
    0.92
    hower
    0.90
    anyahu
    0.89
    gomery
    0.89
    olars
    0.87
    utenant
    0.86
    heid
    0.83
    bane
    0.81
    jriwal
    0.81
    Activations Density 0.153%

    No Known Activations