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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. 20238
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    Explanations

    requests or prompts for actions from a sender to a recipient

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "send" and its variations

    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
    phe
    -0.68
    ItemTracker
    -0.68
    Sov
    -0.64
    minster
    -0.62
    ESS
    -0.62
     Lange
    -0.62
    urity
    -0.61
    BuyableInstoreAndOnline
    -0.58
     penetration
    -0.56
     Pax
    -0.56
    POSITIVE LOGITS
    inel
    0.86
    imental
    0.82
    gment
    0.82
    ãĥĥãĥī
    0.82
     send
    0.81
    keys
    0.80
    entary
    0.76
    vertis
    0.76
    iments
    0.75
    itional
    0.75
    Activations Density 0.022%

    No Known Activations