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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. 2844
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    Explanations

    words related to concealment or hidden actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fo" and its variations in text

    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
     [|
    -0.64
    lich
    -0.62
    tones
    -0.60
    Interstitial
    -0.59
    lust
    -0.59
     Scholars
    -0.59
    luck
    -0.59
     Purpose
    -0.59
     Redemption
    -0.58
     regard
    -0.58
    POSITIVE LOGITS
    obar
    1.22
    ogle
    1.21
    LLOW
    1.17
    etus
    1.14
    xt
    1.14
    iled
    1.13
    iling
    1.06
    ils
    1.03
    ortun
    1.01
    isting
    1.00
    Activations Density 0.037%

    No Known Activations