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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
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    Explanations

    mentions of high schools

    oai_token-act-pair · gpt-3.5-turbo

    references to high schools

    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
     rall
    -0.84
    vier
    -0.83
    ĸļ
    -0.79
    oidal
    -0.79
    女
    -0.75
    76561
    -0.74
    ļéĨĴ
    -0.74
    */(
    -0.73
     externalToEVAOnly
    -0.71
    geoning
    -0.71
    POSITIVE LOGITS
    landers
    1.07
    lighting
    1.00
    school
    0.91
     School
    0.91
    lights
    0.90
    nesses
    0.89
    lander
    0.82
    ness
    0.81
     school
    0.80
    light
    0.79
    Activations Density 0.031%

    No Known Activations