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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 3869
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    Explanations

    words related to lethal substances or actions

    oai_token-act-pair · gpt-3.5-turbo

    references to lethal situations or substances

    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
    acular
    -0.77
    arest
    -0.77
    agall
    -0.76
    ramid
    -0.75
    angles
    -0.74
    hew
    -0.71
    roo
    -0.69
    eon
    -0.69
     Revised
    -0.69
    annis
    -0.68
    POSITIVE LOGITS
     injection
    1.09
     lethal
    1.03
     dose
    1.01
     doses
    0.86
    icide
    0.85
    lethal
    0.85
     injections
    0.84
    ously
    0.84
    espie
    0.84
    otine
    0.83
    Activations Density 0.009%

    No Known Activations