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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. 4-RES-JB
    6. 10990
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    Explanations

    words related to humidity or moisture

    oai_token-act-pair · gpt-3.5-turbo

    terms related to humidity and moisture levels

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

    No Comments

    Negative Logits
     CLSID
    -0.75
    cial
    -0.71
     Pengu
    -0.71
    ellation
    -0.68
    bilt
    -0.68
    llan
    -0.68
     McKay
    -0.67
    --------------------------------------------------------
    -0.66
    CHA
    -0.65
     Davidson
    -0.65
    POSITIVE LOGITS
     humidity
    1.00
     humid
    0.95
    iencies
    0.95
     moist
    0.91
     cleaners
    0.84
    trap
    0.81
     damp
    0.80
     envelop
    0.79
    osponsors
    0.78
     moisture
    0.76
    Activations Density 0.010%

    No Known Activations