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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 where someone or something is being welcomed

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "welcomed" in various contexts

    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
    vati
    -0.78
    iban
    -0.77
    aho
    -0.76
    amation
    -0.74
    etry
    -0.72
    uyomi
    -0.72
    enture
    -0.70
    xus
    -0.70
    negie
    -0.69
    omaly
    -0.69
    POSITIVE LOGITS
     enthusiastically
    0.85
    ="#
    0.82
    HCR
    0.81
     welcomed
    0.80
    SHIP
    0.79
    hovah
    0.78
    NES
    0.76
     Pwr
    0.75
    sett
    0.72
     eagerly
    0.72
    Activations Density 0.025%

    No Known Activations