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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. 9-RES-JB
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    Explanations

    mentions of specific high schools

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of "High School" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oidal
    -0.79
    vernment
    -0.71
    vier
    -0.70
    arium
    -0.68
    uble
    -0.67
     rall
    -0.64
    ibly
    -0.64
    女
    -0.64
     thumbs
    -0.64
    ombies
    -0.63
    POSITIVE LOGITS
    landers
    1.33
     School
    1.19
    lighting
    1.07
    school
    1.01
    lander
    0.93
    nesses
    0.91
    light
    0.89
    School
    0.88
    lights
    0.88
    croft
    0.86
    Activations Density 0.035%

    No Known Activations