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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. 0-RES-JB
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    Explanations

    phrases related to occupation or being occupied

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "occupied" in relation to territories or regions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SON
    -0.75
    tails
    -0.64
     Twist
    -0.63
    amide
    -0.61
    pdf
    -0.60
    SHA
    -0.60
    aram
    -0.60
     package
    -0.60
    esome
    -0.59
    oing
    -0.59
    POSITIVE LOGITS
     occupied
    3.88
    occupied
    2.53
     occupying
    2.11
     occupy
    2.06
     inhabited
    1.99
     Occup
    1.82
    occup
    1.82
     occup
    1.80
     occupies
    1.78
     occupation
    1.69
    Activations Density 0.009%

    No Known Activations