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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11904
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    Explanations

    words related to sudden, often violent, outbursts or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    instances of conflict or confrontational situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ittee
    -0.76
    ajo
    -0.75
    ndra
    -0.72
     ease
    -0.67
    leans
    -0.65
    thin
    -0.65
    ileen
    -0.65
    avement
    -0.65
    abled
    -0.65
    eline
    -0.63
    POSITIVE LOGITS
    burst
    0.76
     bursting
    0.74
     anew
    0.73
     shells
    0.71
     Spiegel
    0.70
     spontaneously
    0.68
    ULAR
    0.66
     Kiev
    0.66
     uncontroll
    0.65
    ONSORED
    0.65
    Activations Density 0.040%

    No Known Activations