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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
    11. 2261
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    Explanations

    words related to preoccupation or occupation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to occupation and control

    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
     cert
    -0.82
     export
    -0.69
     fast
    -0.67
     combos
    -0.66
     faster
    -0.65
     punches
    -0.64
     certification
    -0.64
     samples
    -0.64
     seeds
    -0.63
     hoops
    -0.63
    POSITIVE LOGITS
    occupied
    4.35
    occup
    2.96
    Occup
    2.06
     occupied
    1.38
     Occup
    1.32
     occupancy
    1.08
    employment
    1.06
    claimed
    1.02
    pmwiki
    1.01
     occupy
    0.99
    Activations Density 0.023%

    No Known Activations