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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
    11. 13609
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    Explanations

    references to legal actions such as firings, investigations, and criminalizing

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dismissals or terminations, particularly in a labor context

    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
     Promotion
    -0.68
    opus
    -0.67
     Hosp
    -0.66
    eers
    -0.65
    Redditor
    -0.64
    ĸļ
    -0.64
    Machine
    -0.63
    yout
    -0.62
     Surgery
    -0.61
     Sew
    -0.59
    POSITIVE LOGITS
     fir
    1.06
    kson
    0.98
    teenth
    0.86
    boa
    0.86
    mingham
    0.85
    mination
    0.85
    renheit
    0.84
    thur
    0.83
    estones
    0.83
    sonian
    0.82
    Activations Density 0.016%

    No Known Activations