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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. 9-RES-JB
    6. 1194
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    Explanations

    phrases related to garbage or waste disposal

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "dump" and its variations related to disposal or waste management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HCR
    -0.97
     Flavoring
    -0.79
     Realms
    -0.69
    iam
    -0.67
    éĸ
    -0.63
    andi
    -0.62
    eyes
    -0.61
    iola
    -0.60
    Reviewed
    -0.59
    ghai
    -0.59
    POSITIVE LOGITS
    ster
    1.12
    sters
    1.00
     dumps
    0.99
    dump
    0.98
     dump
    0.81
     overboard
    0.80
    esville
    0.78
    site
    0.76
    loads
    0.76
    tor
    0.75
    Activations Density 0.039%

    No Known Activations