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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. 4-RES-JB
    11. 20099
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    Explanations

    words or phrases related to intensity or exaggeration

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hypersexuality and inflation

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

    No Comments

    Negative Logits
    çĦ
    -0.73
    baum
    -0.71
    iage
    -0.71
    xxxxxxxx
    -0.63
    nces
    -0.60
    emouth
    -0.60
     citiz
    -0.58
     unaffected
    -0.58
    Compan
    -0.58
    HCR
    -0.57
    POSITIVE LOGITS
    ulic
    0.75
    catentry
    0.73
    etch
    0.70
    azard
    0.70
    ersive
    0.68
    inem
    0.68
    nir
    0.67
    ilic
    0.67
    emic
    0.67
    opter
    0.67
    Activations Density 0.071%

    No Known Activations