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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. 3133
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    Explanations

    instances of bans on various subjects or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of bans

    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
     Generations
    -0.76
    LV
    -0.68
     IMAGES
    -0.68
     Barg
    -0.68
     Temper
    -0.66
    ¯¯
    -0.65
    姫
    -0.65
     Io
    -0.65
    ORY
    -0.64
    rious
    -0.64
    POSITIVE LOGITS
    ishment
    1.21
    hammer
    1.07
    zai
    0.94
    ish
    0.90
    ished
    0.87
    ishing
    0.86
    jo
    0.85
    anan
    0.83
     bans
    0.83
    nered
    0.82
    Activations Density 0.016%

    No Known Activations