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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. 6-RES-JB
    11. 3633
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    Explanations

    phrases indicating regret or hypothetical scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing hypothetical situations or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lucky
    -0.70
     inspecting
    -0.69
     aware
    -0.66
     thankful
    -0.65
     enjoying
    -0.64
     inspect
    -0.64
     watches
    -0.63
     learning
    -0.62
     glad
    -0.62
     observing
    -0.60
    POSITIVE LOGITS
     occurred
    0.84
    angler
    0.80
     occur
    0.77
     transpired
    0.75
     ripple
    0.73
     happen
    0.73
     happening
    0.72
     occurring
    0.71
    occ
    0.70
     happened
    0.70
    Activations Density 0.497%

    No Known Activations