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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. 9-RES-JB
    11. 5525
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    Explanations

    mentions of residents in various scenarios

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "residents" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anche
    -0.74
    icer
    -0.70
    enegger
    -0.65
    itudes
    -0.65
    Prev
    -0.64
    kefeller
    -0.63
     infall
    -0.63
    Bone
    -0.63
    catentry
    -0.61
    itude
    -0.61
    POSITIVE LOGITS
    hips
    1.22
    hip
    1.05
    folk
    1.04
     Residents
    0.81
     living
    0.79
     residents
    0.75
     who
    0.75
     residing
    0.73
    Residents
    0.73
    oft
    0.72
    Activations Density 0.055%

    No Known Activations