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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. 16067
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    Explanations

    words related to transportation systems, particularly metro or railway lines

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of specific railway lines

    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
    CLASSIFIED
    -0.85
    ricular
    -0.85
    ILY
    -0.82
    lished
    -0.79
     mathemat
    -0.75
    CVE
    -0.75
    00200000
    -0.74
    lehem
    -0.74
    KNOWN
    -0.73
    undai
    -0.71
    POSITIVE LOGITS
    backer
    1.17
    roads
    0.99
    ages
    0.89
     Lines
    0.82
    lines
    0.80
     crossings
    0.77
     Rouge
    0.75
    aments
    0.74
    breaker
    0.72
    ups
    0.72
    Activations Density 0.022%

    No Known Activations