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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. 4-RES-JB
    11. 19632
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    Explanations

    instances of the phrase "important to note."

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "to note" or variations of it

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

    No Comments

    Negative Logits
    ravel
    -0.83
     srf
    -0.71
    estern
    -0.69
    icum
    -0.68
     neighb
    -0.67
    WOOD
    -0.66
    eatures
    -0.65
     carbohyd
    -0.65
    oing
    -0.65
    ortunately
    -0.64
    POSITIVE LOGITS
    lessly
    0.89
    ably
    0.88
    book
    0.86
    BOOK
    0.85
     note
    0.81
    books
    0.81
     Keeper
    0.80
    .>>
    0.73
     noting
    0.72
    pad
    0.71
    Activations Density 0.014%

    No Known Activations