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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. 20336
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    Explanations

    the word "basically" or similar words indicating a simplification or summarization

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate simplifications or generalizations of complex concepts

    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
    alez
    -0.78
    Ey
    -0.74
    Others
    -0.71
    rer
    -0.70
    Tickets
    -0.70
    encers
    -0.66
    eful
    -0.64
    ttp
    -0.63
    TERN
    -0.63
    ificantly
    -0.63
    POSITIVE LOGITS
     worthless
    0.84
     meaningless
    0.79
     useless
    0.77
     unus
    0.74
     boils
    0.73
     lifeless
    0.72
    unin
    0.71
     unchanged
    0.69
     indistinguishable
    0.66
    strate
    0.65
    Activations Density 0.027%

    No Known Activations