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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. 9692
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    Explanations

    measurement units related to volume

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to density and volume

    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
    ipeg
    -0.77
    ilyn
    -0.66
    jri
    -0.56
    jriwal
    -0.55
     Weston
    -0.54
    kefeller
    -0.52
    bucks
    -0.52
    seekers
    -0.50
    pard
    -0.50
    waukee
    -0.49
    POSITIVE LOGITS
    ĨĴ
    0.61
    Pattern
    0.61
     guiActiveUnfocused
    0.61
    ©¶æ
    0.57
    Applic
    0.55
    ãĤ¨ãĥ«
    0.54
    Rain
    0.52
    Mach
    0.52
    Ore
    0.52
    UCT
    0.52
    Activations Density 2.441%

    No Known Activations