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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. 12823
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    Explanations

    mention of specific school districts

    oai_token-act-pair · gpt-3.5-turbo

    references to school districts and their administrative actions

    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
    obin
    -0.88
    strument
    -0.82
    ãĥ¼ãĥĨ
    -0.81
    stocks
    -0.73
    odox
    -0.72
    cia
    -0.72
    Ô
    -0.71
    cases
    -0.69
    ãĥ³
    -0.68
    iosity
    -0.68
    POSITIVE LOGITS
    wide
    1.05
     Officials
    0.80
     Employees
    0.78
     instituted
    0.76
     superintendent
    0.76
     officials
    0.73
     headquartered
    0.73
     discontinued
    0.72
     fined
    0.71
     chiefs
    0.70
    Activations Density 0.110%

    No Known Activations