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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. 11635
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    Explanations

    references to the concept of rehabilitation, particularly related to medical treatments or recovery programs

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to rehabilitation and recovery

    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
     Tables
    -0.76
    Counter
    -0.75
     Urs
    -0.74
    Flags
    -0.74
     outnumbered
    -0.73
     packets
    -0.73
     Scythe
    -0.71
     Cake
    -0.71
     Papers
    -0.69
    flag
    -0.68
    POSITIVE LOGITS
     rehab
    3.86
     rehabilitation
    3.34
     Rehab
    2.95
     rehabilit
    2.68
     detox
    1.49
     recovery
    1.34
     Recovery
    1.25
     counseling
    1.20
     restitution
    1.19
     therapy
    1.18
    Activations Density 0.015%

    No Known Activations