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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. 0-RES-JB
    11. 14701
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    Explanations

    instances of things narrowly happening or narrowly avoiding something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to narrowly avoided situations and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dried
    -0.76
     Primordial
    -0.73
     aging
    -0.68
     grid
    -0.65
     newcomers
    -0.63
     dormant
    -0.63
     Remastered
    -0.62
     pads
    -0.62
     ageing
    -0.62
     throne
    -0.62
    POSITIVE LOGITS
     wounding
    2.49
     injuring
    2.24
     narrowly
    2.03
     injure
    1.55
    angering
    1.37
     inj
    1.23
     manslaughter
    1.19
     risking
    1.02
    istrates
    1.02
    jury
    1.00
    Activations Density 0.040%

    No Known Activations