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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. 3-RES-JB
    11. 23281
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    Explanations

    phrases related to impactful events or consequences

    oai_token-act-pair · gpt-3.5-turbo

    terms related to consequences and impacts, particularly those that are negative or harmful

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovo
    -0.88
    icol
    -0.81
    bernatorial
    -0.80
    itic
    -0.79
    inational
    -0.77
    atically
    -0.75
    ites
    -0.74
    itism
    -0.74
    izont
    -0.73
    matically
    -0.73
    POSITIVE LOGITS
     havoc
    0.85
     doom
    0.79
    natureconservancy
    0.77
    cock
    0.75
     attendant
    0.74
     disasters
    0.73
     bull
    0.72
     wrought
    0.71
     miracles
    0.70
     mammoth
    0.69
    Activations Density 0.032%

    No Known Activations