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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. 20144
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    Explanations

    phrases related to problems or issues

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "problematic" and related negative descriptors

    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
    tein
    -1.05
    vation
    -0.87
    frey
    -0.85
    uay
    -0.80
    ensional
    -0.80
    eur
    -0.76
    ithing
    -0.76
    ulet
    -0.75
    bern
    -0.74
    bet
    -0.73
    POSITIVE LOGITS
     undermin
    0.86
     compromises
    0.75
     problematic
    0.73
     adolesc
    0.72
     disruptive
    0.70
     plag
    0.68
     offending
    0.68
     offenders
    0.67
     offender
    0.67
     contamin
    0.66
    Activations Density 0.012%

    No Known Activations