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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. 5-RES-JB
    6. 4275
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    INDEX
    Explanations

    phrases indicating potential consequences or outcomes of certain actions or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "cause" and its variations related to causation and effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeper
    -0.70
     Quart
    -0.68
     skelet
    -0.68
    schild
    -0.68
     Technique
    -0.67
    atu
    -0.67
    ramid
    -0.66
    ilings
    -0.64
    town
    -0.62
     predec
    -0.62
    POSITIVE LOGITS
     cele
    1.03
     havoc
    0.97
    ãĥĨãĤ£
    0.84
     irre
    0.84
     headaches
    0.77
     trouble
    0.77
     undue
    0.72
    uria
    0.72
     outbreaks
    0.72
    hift
    0.71
    Activations Density 0.029%

    No Known Activations