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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. 10-RES-JB
    11. 4560
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    Explanations

    words related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to causes or reasons for certain effects or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     confidently
    -0.71
    ighth
    -0.65
    tops
    -0.64
    姫
    -0.63
    until
    -0.63
     congratulations
    -0.62
    spect
    -0.62
     anonymously
    -0.62
    eday
    -0.61
    odied
    -0.61
    POSITIVE LOGITS
     inexper
    1.18
     misunderstanding
    1.10
     cumbers
    1.02
     inability
    1.00
     lack
    0.99
     incompetence
    0.98
     constraints
    0.95
     unwillingness
    0.95
     pecul
    0.94
     shortage
    0.93
    Activations Density 0.540%

    No Known Activations