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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. 3480
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    Explanations

    phrases or sentences mentioning residents

    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 @ 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
    anche
    -0.78
    Bone
    -0.77
    MED
    -0.75
    Prev
    -0.69
    vell
    -0.69
    apo
    -0.68
    ceed
    -0.67
    xon
    -0.67
    lda
    -0.67
    --+
    -0.65
    POSITIVE LOGITS
    hips
    1.03
    hip
    0.99
    folk
    0.97
     residing
    0.85
     residents
    0.81
     dwell
    0.79
     Residents
    0.78
     dwellings
    0.72
     who
    0.72
     numbering
    0.71
    Activations Density 0.019%

    No Known Activations