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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
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    Explanations

    phrases related to food ingredients, specifically Italian cuisine

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific food-related terms, particularly focusing on various forms of "otta" and "arella."

    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
    Portland
    -0.71
    duct
    -0.68
    drawn
    -0.66
     Indigo
    -0.65
    termin
    -0.65
    draw
    -0.65
    ansas
    -0.63
    writers
    -0.62
     Referred
    -0.61
    lvl
    -0.60
    POSITIVE LOGITS
    DonaldTrump
    0.93
    otta
    0.91
    hedral
    0.91
    zzi
    0.81
    chio
    0.81
    ppa
    0.80
    onga
    0.80
    zzo
    0.79
    asma
    0.77
    brance
    0.77
    Activations Density 0.011%

    No Known Activations