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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. 4167
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    Explanations

    phrases related to a large quantity or abundance

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities of information or items

    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
     sufficiently
    -0.69
     preferably
    -0.68
    odan
    -0.67
    eka
    -0.64
     duly
    -0.62
     bona
    -0.61
    arest
    -0.59
     Rather
    -0.58
    deen
    -0.58
     indefinitely
    -0.57
    POSITIVE LOGITS
     nowadays
    0.89
     crammed
    0.89
     involved
    0.81
     happening
    0.80
     imaginable
    0.80
     thrown
    0.79
     wrong
    0.78
     going
    0.77
     swirling
    0.76
     crap
    0.75
    Activations Density 0.360%

    No Known Activations