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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. 11-RES-JB
    11. 23833
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    Explanations

    phrases related to identifying or identifying characteristics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the process of identification or recognizing something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.83
    orld
    -0.74
    riter
    -0.71
    nb
    -0.69
    perty
    -0.69
    hon
    -0.66
    onew
    -0.65
    ãĤ´ãĥ³
    -0.65
    nz
    -0.65
     Remastered
    -0.64
    POSITIVE LOGITS
     weaknesses
    0.99
     areas
    0.90
     flaws
    0.89
     deficiencies
    0.89
     gaps
    0.88
     obstacles
    0.86
     vulnerabilities
    0.85
     landmarks
    0.85
     culprit
    0.83
     targets
    0.83
    Activations Density 0.117%

    No Known Activations