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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. 16727
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    Explanations

    keywords related to ease or simplicity

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "easily"

    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
    geist
    -0.84
    grave
    -0.73
    rum
    -0.72
    raints
    -0.70
    mut
    -0.68
    oft
    -0.68
     newsp
    -0.67
    iery
    -0.67
    inburgh
    -0.64
    hyde
    -0.63
    POSITIVE LOGITS
    Jet
    0.97
     accommod
    0.83
     identifiable
    0.80
     enough
    0.77
     accessible
    0.77
     achievable
    0.76
     readable
    0.76
     understandable
    0.76
     prey
    0.75
    abil
    0.72
    Activations Density 0.014%

    No Known Activations