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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. 9418
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    Explanations

    individuals or entities going through difficult experiences or challenges

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "go through" in various contexts

    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
    rising
    -0.68
    Removed
    -0.64
    Insert
    -0.64
    Ring
    -0.63
    CTV
    -0.63
    ials
    -0.63
    NET
    -0.63
     lure
    -0.62
     whales
    -0.62
    Tier
    -0.62
    POSITIVE LOGITS
    esville
    0.78
     puberty
    0.73
    hovah
    0.73
    enhagen
    0.70
    в
    0.66
     adolescence
    0.65
    uberty
    0.63
    zag
    0.63
    acia
    0.63
     intermedi
    0.63
    Activations Density 0.024%

    No Known Activations