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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. 1334
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    Explanations

    terms related to public statements or opinions, such as "comments" and "remarks" as well as the sentiment or impact of those statements

    oai_token-act-pair · gpt-3.5-turbo

    instances of commentary or statements made by individuals

    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
    tail
    -0.70
    fruit
    -0.66
    ccording
    -0.66
     Recon
    -0.65
    annis
    -0.65
    YP
    -0.64
     Rescue
    -0.62
    locked
    -0.61
     Cav
    -0.61
    ntil
    -0.61
    POSITIVE LOGITS
    ariat
    0.97
     remarks
    0.94
     comments
    0.87
     uttered
    0.86
    ä¹ĭ
    0.78
    mith
    0.73
     briefings
    0.73
    ulation
    0.73
     aloud
    0.72
     slurs
    0.71
    Activations Density 0.045%

    No Known Activations