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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 189
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    Explanations

    phrases related to quotes or interviews, specifically sentences beginning with quotation marks or involving statements by individuals

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emotional intensity or emphasis

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     shroud
    -0.85
     shrouded
    -0.76
     semblance
    -0.76
     presumed
    -0.68
     Mayo
    -0.66
     grips
    -0.64
     Mirage
    -0.63
    interstitial
    -0.61
     slate
    -0.61
     wrapped
    -0.61
    POSITIVE LOGITS
    ¹
    1.23
    ł
    1.16
    Ķ
    0.98
    ª
    0.95
    ¾
    0.94
    ij
    0.93
    ı
    0.92
    wcsstore
    0.92
    »
    0.92
    ³
    0.92
    Activations Density 0.180%

    No Known Activations