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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. 12293
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    Explanations

    expressions related to receiving something, understanding what to expect, or anticipating outcomes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of obtaining or receiving

    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
     cardinal
    -0.64
     Principle
    -0.60
    unts
    -0.58
     Principles
    -0.55
     centerpiece
    -0.52
     prol
    -0.52
    ynski
    -0.51
     Inher
    -0.49
     proletariat
    -0.49
    esian
    -0.48
    POSITIVE LOGITS
     rid
    1.16
    DragonMagazine
    0.86
    acet
    0.83
     from
    0.82
    chell
    0.82
     away
    0.79
     rewarded
    0.76
     accustomed
    0.74
     into
    0.74
    tin
    0.74
    Activations Density 0.047%

    No Known Activations