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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 4680
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    Explanations

    patterns of characters that don't form any coherent words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    recurrent numerical values or statistics related to various topics

    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
     oath
    -0.98
     prosec
    -0.78
     act
    -0.78
     indoctr
    -0.78
     condone
    -0.77
     unsuspecting
    -0.73
     freedom
    -0.73
     ethos
    -0.73
     initi
    -0.72
     innocence
    -0.72
    POSITIVE LOGITS
    Compared
    1.13
    Average
    1.10
    Still
    1.05
    Interest
    1.04
    Overall
    1.04
    Compar
    1.04
    Correct
    1.00
    Statistics
    1.00
    Compare
    1.00
    TABLE
    1.00
    Activations Density 0.529%

    No Known Activations