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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. 8358
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    Explanations

    phrases related to various types of infestations, such as insects, rodents, or parasites

    oai_token-act-pair · gpt-3.5-turbo

    terms related to infestation or molestation

    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
    £ı
    -0.80
    trak
    -0.75
    aminer
    -0.72
    conv
    -0.71
    bernatorial
    -0.71
    hner
    -0.71
    asio
    -0.71
    Æ
    -0.71
    awaru
    -0.70
    tri
    -0.67
    POSITIVE LOGITS
    ested
    0.77
     Trafford
    0.71
    heses
    0.69
    otle
    0.65
    nesses
    0.64
    esting
    0.64
    rils
    0.63
    ored
    0.61
    iques
    0.61
    ito
    0.61
    Activations Density 0.010%

    No Known Activations