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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. 17568
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    Explanations

    terms related to medical conditions, particularly eating disorders

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "ore"

    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
    ilts
    -0.76
     ILCS
    -0.73
    channelAvailability
    -0.72
    ulk
    -0.67
    ¥ŀ
    -0.67
     srf
    -0.67
    soDeliveryDate
    -0.66
    -+-+
    -0.65
    otaur
    -0.64
    cffff
    -0.64
    POSITIVE LOGITS
    tto
    1.24
    gon
    1.04
    tta
    1.01
    lli
    1.01
    tsky
    0.98
    xia
    0.92
    ttes
    0.91
    byss
    0.88
    tti
    0.87
    llo
    0.86
    Activations Density 0.010%

    No Known Activations