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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. 4-RES-JB
    11. 4615
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    Explanations

    words related to events or situations that are expected or unavoidable

    oai_token-act-pair · gpt-3.5-turbo

    phrases that convey a sense of inevitability

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

    No Comments

    Negative Logits
    raph
    -0.89
    nan
    -0.84
    tein
    -0.81
    secut
    -0.81
    chel
    -0.80
    abit
    -0.80
    vest
    -0.79
    rongh
    -0.79
    emark
    -0.79
    eki
    -0.77
    POSITIVE LOGITS
     doom
    1.02
     inev
    0.88
     inevitable
    0.82
     downfall
    0.82
     fallout
    0.81
     consequence
    0.81
     demise
    0.79
     inflic
    0.77
     unavoidable
    0.76
     conclusion
    0.75
    Activations Density 0.012%

    No Known Activations