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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    the word "school" in texts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "school"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tame
    -0.73
    OPLE
    -0.68
    vernment
    -0.66
     genus
    -0.64
    ktop
    -0.61
    \\\\
    -0.61
     Bundy
    -0.60
     timestamp
    -0.59
     dormant
    -0.58
     live
    -0.58
    POSITIVE LOGITS
    children
    1.16
    kids
    1.12
    girls
    1.12
    masters
    1.02
    boy
    1.01
    boys
    0.99
    School
    0.96
    master
    0.93
    Students
    0.91
    child
    0.91
    Activations Density 0.038%

    No Known Activations