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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6124
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    Explanations

    words related to rehabilitation and care facilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to rehabilitation and social services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.84
    andom
    -0.81
    ouver
    -0.77
    ãĥĥãĥī
    -0.75
    ãĥķãĤ©
    -0.68
     toast
    -0.68
    Thumbnail
    -0.68
    ãĥ£
    -0.67
    poll
    -0.67
    çīĪ
    -0.65
    POSITIVE LOGITS
     counselors
    1.22
    ilitating
    1.20
     counseling
    1.03
    ilitation
    1.02
     counselor
    1.02
     providers
    0.97
     clinics
    0.93
     counselling
    0.92
     referrals
    0.91
     therapists
    0.91
    Activations Density 0.229%

    No Known Activations