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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. 12315
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    Explanations

    the word "get" followed by various suffixes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "get."

    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
     contemplation
    -0.64
     Diary
    -0.61
     surv
    -0.60
     deduct
    -0.59
     deliberations
    -0.58
    oresc
    -0.58
     vulnerability
    -0.57
     contemplated
    -0.56
     taboo
    -0.56
     prophet
    -0.55
    POSITIVE LOGITS
    TING
    1.22
     rid
    1.22
    tin
    1.13
    ter
    1.08
    cloneembedreportprint
    1.07
    ters
    1.05
    away
    0.95
    ãĥ³ãĤ¸
    0.95
    chell
    0.90
    terson
    0.87
    Activations Density 0.030%

    No Known Activations