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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. 3-RES-JB
    11. 23630
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    Explanations

    subjects or objects that are susceptible or liable to certain conditions or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to vulnerability and legal responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.72
    row
    -0.66
    zos
    -0.66
    onga
    -0.65
     Worldwide
    -0.65
    atur
    -0.63
    zyme
    -0.61
    cow
    -0.60
    emb
    -0.60
    aster
    -0.59
    POSITIVE LOGITS
     susceptible
    0.95
     suscept
    0.84
     embr
    0.84
    itability
    0.81
    soever
    0.72
     intellig
    0.71
    entious
    0.70
     undermin
    0.70
    nesses
    0.69
    alty
    0.69
    Activations Density 0.018%

    No Known Activations