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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 2-RES-JB
    6. 4645
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    INDEX
    Explanations

    occurrences of the word "ban" followed by a number indicating the strength of the match

    oai_token-act-pair · gpt-3.5-turbo

    discussions about bans or prohibitions in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Generations
    -0.81
    LV
    -0.70
    ORY
    -0.69
    rious
    -0.68
     Io
    -0.66
    Sea
    -0.66
    ACTED
    -0.65
     Barg
    -0.65
    everal
    -0.63
     Fault
    -0.62
    POSITIVE LOGITS
    hammer
    1.15
    zai
    1.07
    ishment
    1.06
    quet
    0.91
     bans
    0.89
    ish
    0.86
     ban
    0.84
    jo
    0.82
     banning
    0.82
    etooth
    0.81
    Activations Density 0.013%

    No Known Activations