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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. 6-RES-JB
    11. 9778
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    Explanations

    instances of the word "order" within larger contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express the concept of "in order to" indicating purpose or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ider
    -0.77
    tex
    -0.74
    dden
    -0.72
    vae
    -0.71
    ilde
    -0.71
    milo
    -0.68
    elta
    -0.67
    aye
    -0.66
    rower
    -0.65
    raped
    -0.65
    POSITIVE LOGITS
     Osw
    0.84
    ãĥĻ
    0.69
    lies
    0.68
    ppel
    0.66
    liness
    0.64
     fulfillment
    0.64
    meal
    0.62
     financing
    0.61
     fres
    0.60
     recap
    0.59
    Activations Density 0.022%

    No Known Activations