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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. 2-RES-JB
    11. 22174
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    INDEX
    Explanations

    phrases related to criticism or negative feedback in a context of a competition or event

    oai_token-act-pair · gpt-3.5-turbo

    references to observations or warnings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    horse
    -0.71
    ixie
    -0.67
    Ill
    -0.66
    alist
    -0.65
     Hilton
    -0.65
    asy
    -0.62
    Credit
    -0.62
    Ell
    -0.60
    undai
    -0.60
    Plex
    -0.60
    POSITIVE LOGITS
    bsp
    0.85
    inar
    0.78
    conservancy
    0.74
     Carbuncle
    0.72
    selves
    0.69
     timers
    0.66
    nesses
    0.66
    è¦ļéĨĴ
    0.65
     inciner
    0.65
    iked
    0.63
    Activations Density 0.000%

    No Known Activations