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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 7224
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    Explanations

    phrases indicating a large or significant amount of something

    oai_token-act-pair · gpt-3.5-turbo

    the term "considerable" used in various contexts to quantify significance or extent

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abad
    -0.86
    opers
    -0.80
    ramid
    -0.77
    raid
    -0.75
    emy
    -0.73
    etts
    -0.73
    olog
    -0.73
    acus
    -0.70
    claimer
    -0.69
    oped
    -0.69
    POSITIVE LOGITS
     amounts
    1.03
     quantities
    0.92
     amount
    0.90
     earthqu
    0.82
     difficulties
    0.78
     hardship
    0.76
     inconvenience
    0.75
     lengths
    0.75
     importance
    0.74
     sums
    0.74
    Activations Density 0.018%

    No Known Activations