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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. 9-RES-JB
    11. 23522
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    Explanations

    names starting with the letter "H" and sometimes entire words when they are emphasized

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter combination "H"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.75
    ntil
    -0.69
     Ll
    -0.66
     Resp
    -0.65
     guiActiveUn
    -0.64
    ħĭ
    -0.61
    ãĥīãĥ©ãĤ´ãĥ³
    -0.61
    ĻĤ
    -0.61
     reusable
    -0.60
     Tos
    -0.60
    POSITIVE LOGITS
    inki
    0.89
    abee
    0.87
    igans
    0.86
    awei
    0.86
    acan
    0.84
    kamp
    0.76
    icultural
    0.76
    warts
    0.75
    azard
    0.75
    iday
    0.75
    Activations Density 0.105%

    No Known Activations