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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. 1-RES-JB
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    Explanations

    references to vandalism

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "scandal" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    respect
    -0.70
    parable
    -0.70
    kes
    -0.70
    llular
    -0.69
    elf
    -0.69
    demand
    -0.69
    protein
    -0.68
    pres
    -0.64
    pressed
    -0.62
    controlled
    -0.61
    POSITIVE LOGITS
    andal
    1.24
    andals
    0.86
    icity
    0.80
     Byz
    0.71
    isks
    0.71
    adoes
    0.71
    adium
    0.70
    ism
    0.68
    abase
    0.68
     Mubarak
    0.66
    Activations Density 0.005%

    No Known Activations