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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. 7-RES-JB
    11. 3561
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    INDEX
    Explanations

    instances where specific occupations or roles are mentioned

    oai_token-act-pair · gpt-3.5-turbo

    terms related to law enforcement and organizational roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     suspic
    -0.66
     meas
    -0.65
     pleas
    -0.64
    ormonal
    -0.62
    fitting
    -0.61
    arcity
    -0.60
    abyte
    -0.60
    Higher
    -0.60
     rusty
    -0.59
    CHAPTER
    -0.58
    POSITIVE LOGITS
     Cyn
    0.71
     Ltd
    0.67
     LLP
    0.67
    ea
    0.65
     Blend
    0.63
    iasco
    0.63
    utra
    0.62
    tops
    0.62
    otech
    0.61
    shirts
    0.60
    Activations Density 0.504%

    No Known Activations