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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. 3-RES-JB
    11. 10806
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    Explanations

    verbs indicating necessity or obligation

    oai_token-act-pair · gpt-3.5-turbo

    auxiliary verbs indicating hypothetical or conditional situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ishing
    -0.68
    è¦ļéĨĴ
    -0.61
     Pent
    -0.60
    soft
    -0.59
    uras
    -0.58
     script
    -0.58
    rylic
    -0.58
     mouse
    -0.57
    ixture
    -0.56
    iop
    -0.56
    POSITIVE LOGITS
    ĸļ
    0.78
    aeda
    0.70
     grandparents
    0.69
     unthinkable
    0.66
    enance
    0.64
    ĵĺ
    0.64
    Topics
    0.62
    vt
    0.62
     sooner
    0.61
    acea
    0.61
    Activations Density 0.380%

    No Known Activations