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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. 4743
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    Explanations

    concepts related to concealment or hiding

    oai_token-act-pair · gpt-3.5-turbo

    words related to concealment and revelation

    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
     GOODMAN
    -0.74
     gears
    -0.64
    shire
    -0.63
    STEP
    -0.62
     Danish
    -0.62
    culosis
    -0.62
    doms
    -0.62
    TON
    -0.62
    ucky
    -0.61
    stones
    -0.60
    POSITIVE LOGITS
    ivably
    1.30
    aling
    1.25
    xual
    1.11
    mble
    1.10
    avement
    1.08
    aled
    1.07
    lling
    1.06
    aler
    1.04
    llers
    1.01
    gregation
    1.01
    Activations Density 0.062%

    No Known Activations