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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. 16931
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    Explanations

    comparative words related to levels or rates

    oai_token-act-pair · gpt-3.5-turbo

    comparative phrases emphasizing levels of measurement such as "higher" and "lower."

    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
    ools
    -0.75
    iliary
    -0.65
    mosp
    -0.63
    ortment
    -0.62
     QUEST
    -0.61
    roots
    -0.61
     Penal
    -0.60
    pl
    -0.59
     Founding
    -0.59
    umn
    -0.59
    POSITIVE LOGITS
     proport
    0.88
     compared
    0.79
     (<
    0.77
     enough
    0.73
     (>
    0.70
    intendent
    0.69
     (âĪĴ
    0.66
     disproportion
    0.66
     proportion
    0.66
     relative
    0.66
    Activations Density 0.162%

    No Known Activations