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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. 12320
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    Explanations

    details about the start or commencement of events or activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "begin" and its variations, indicating the initiation of actions or events

    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
    ided
    -0.80
    ides
    -0.75
    dad
    -0.71
    cit
    -0.65
    ses
    -0.64
    ide
    -0.64
    warts
    -0.62
    spl
    -0.62
    friends
    -0.61
    friend
    -0.61
    POSITIVE LOGITS
     anew
    1.00
    ITIES
    0.82
    ezvous
    0.82
     Doors
    0.81
    mble
    0.78
    rollment
    0.76
    OURCE
    0.76
     airing
    0.76
     Door
    0.75
    ||||
    0.72
    Activations Density 0.067%

    No Known Activations