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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. 13740
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    Explanations

    proper nouns, such as names of individuals or places

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and organizations

    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
     eleph
    -0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.71
     Sno
    -0.70
    ||||
    -0.69
     mascot
    -0.68
    CLASSIFIED
    -0.66
     FANT
    -0.66
    Þ
    -0.65
    Offline
    -0.65
    Untitled
    -0.64
    POSITIVE LOGITS
    hner
    0.87
    aney
    0.85
    ren
    0.79
    arkin
    0.79
     said
    0.78
    iott
    0.75
    wald
    0.74
    espie
    0.74
    hardt
    0.74
    inar
    0.73
    Activations Density 0.201%

    No Known Activations