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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. 7-RES-JB
    11. 23505
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    Explanations

    descriptions using the phrase "very, very"

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "very" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Landing
    -0.64
     behav
    -0.62
     Companies
    -0.61
    uggest
    -0.61
     MEM
    -0.60
     resolutions
    -0.59
     arrivals
    -0.59
     Contracts
    -0.58
     waivers
    -0.56
     Printing
    -0.56
    POSITIVE LOGITS
     um
    0.83
     uh
    0.74
    ceptor
    0.73
    IGH
    0.73
    idered
    0.68
    kward
    0.67
    igg
    0.66
    ammed
    0.64
    nery
    0.63
    risome
    0.63
    Activations Density 0.089%

    No Known Activations