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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. 6-RES-JB
    11. 19713
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    Explanations

    the word "there" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "there"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CJ
    -0.65
    ME
    -0.62
     Buck
    -0.60
    ONSORED
    -0.59
     Slayer
    -0.59
     HIM
    -0.59
     scoop
    -0.57
     Heights
    -0.57
     Khe
    -0.56
     Mecca
    -0.56
    POSITIVE LOGITS
    abouts
    1.50
    upon
    1.18
    fore
    0.91
    FORE
    0.79
    olver
    0.74
    idel
    0.74
    onian
    0.71
    idents
    0.71
     guiActiveUn
    0.71
    ngth
    0.71
    Activations Density 0.120%

    No Known Activations