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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. 4091
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    Explanations

    words related to handling or dealing with various situations or issues

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dealing" and related terms that describe managing situations or problems

    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
    omet
    -0.79
    mpeg
    -0.78
    si
    -0.75
    eva
    -0.70
    dt
    -0.68
    yon
    -0.68
    ifi
    -0.65
    idas
    -0.63
     Anthem
    -0.62
    owler
    -0.62
    POSITIVE LOGITS
    redients
    0.82
    BuyableInstoreAndOnline
    0.82
    HAM
    0.75
     conflic
    0.75
    tons
    0.74
    itaire
    0.74
     prowess
    0.68
     mathemat
    0.68
     difficulties
    0.66
    arten
    0.63
    Activations Density 0.057%

    No Known Activations