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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

    words related to causing harm or injury

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hurt."

    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
    aut
    -0.76
    uther
    -0.75
    clerosis
    -0.71
    arch
    -0.69
    aer
    -0.67
    atching
    -0.67
    vironment
    -0.65
    gran
    -0.65
     liner
    -0.65
    au
    -0.65
    POSITIVE LOGITS
     hurt
    1.14
     hurting
    0.90
     hurts
    0.90
    onies
    0.87
    ful
    0.82
    lehem
    0.81
     losers
    0.81
    igue
    0.78
     badly
    0.77
    ting
    0.76
    Activations Density 0.008%

    No Known Activations