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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. 2-RES-JB
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    Explanations

    words related to negative impact or destruction

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ruin" and its variations in the context of adverse effects or consequences

    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
    WER
    -0.67
    appa
    -0.66
    bors
    -0.66
    >>>>>>>>
    -0.64
    NetMessage
    -0.61
     Cosponsors
    -0.59
    eely
    -0.59
    ////////
    -0.58
    enne
    -0.58
     carriers
    -0.57
    POSITIVE LOGITS
     ruin
    1.03
    ous
    1.03
    ously
    1.01
     spoil
    0.95
    stal
    0.95
     ruining
    0.94
     havoc
    0.90
     ruined
    0.84
    OUS
    0.83
     spo
    0.81
    Activations Density 0.010%

    No Known Activations