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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. 675
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    Explanations

    high schools in various locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of high schools

    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
    vier
    -0.87
    oidal
    -0.84
     rall
    -0.80
     externalToEVAOnly
    -0.75
    Downloadha
    -0.73
    ĸļ
    -0.73
    arium
    -0.72
    vernment
    -0.71
    oldemort
    -0.70
     Canaver
    -0.69
    POSITIVE LOGITS
    landers
    1.10
    lighting
    1.00
    nesses
    0.95
    lights
    0.92
    ness
    0.91
     School
    0.87
    ening
    0.82
    ened
    0.81
    croft
    0.81
    school
    0.81
    Activations Density 0.027%

    No Known Activations