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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. 3-RES-JB
    11. 3640
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    Explanations

    words related to compliance, adherence, and fitting in with set standards or rules

    oai_token-act-pair · gpt-3.5-turbo

    terms related to social conformity and adherence to rules or standards

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arta
    -0.74
    437
    -0.71
    STEM
    -0.67
    wi
    -0.66
    fly
    -0.66
    lua
    -0.66
     Mehran
    -0.66
     Oaks
    -0.66
    row
    -0.65
    436
    -0.65
    POSITIVE LOGITS
     conform
    1.05
    itionally
    0.92
    itional
    0.90
    ational
    0.88
    ezvous
    0.87
    ably
    0.85
    ensical
    0.83
     comply
    0.82
    ities
    0.82
    istrate
    0.81
    Activations Density 0.006%

    No Known Activations